Feng Wang's research while affiliated with Aerospace Information Research Institute and other places
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Publications (146)
The space situational awareness (SSA) is a critical issue of space security. The SSA of three-dimensional (3-D) information on flying space targets has been operated by inverse-SAR (ISAR) and telescope observations. However, how good it is to fuse these two observations, i.e. microwave and optical, has not been well discussed. Especially, it would...
The surge in remote sensing satellites and diverse imaging modes poses substantial challenges for ground systems. Swift and high-precision geolocation is the foundational requirement for subsequent remote sensing image applications. Breakthroughs in intelligent on-orbit processing now enable on-orbit geometric processing. In the absence of control...
Currently, massive Synthetic Aperture Radar (SAR) images acquired from numerous SAR satellites have been widely utilized in various fields, and image mosaicking technology provides important support and assistance for these applications. The traditional mosaic method selects specific SAR images that can cover the region of interest (ROI) from redun...
With the emergence of the Smart City concept, the rapid advancement of urban three-dimensional (3D) reconstruction becomes imperative. While current developments in the field of 3D reconstruction have enabled the generation of 3D products such as Digital Surface Models (DSM), challenges persist in accurately reconstructing shadows, handling occlusi...
Background
Physical activity(PA) is associated with health-related quality of life (HRQoL) among older adults, and both are associated with mood, such as depression. However, the indirect effects of PA on HRQoL in older adults have not been clearly established. This study explained how different types and intensities of PA were associated with HRQo...
Optical and synthetic aperture radar (SAR) image matching presents a formidable challenge due to their pronounced geometric and radiometric distinctions arising from multi-modality. The distinct imaging mechanisms of optical and SAR sensors make it challenging to identify essentially homologous points in the physical sense, raising concerns about t...
We implement a multi-dimensional masking encryption scheme with an ultra-large key space of 10 ¹⁴³ in a photonics-aided millimeter radio-over-fiber (ROF) system. The equivalent 1.67GBaud encrypted-4096QAM signal is successfully transmitted and decrypted over a 4.6-km wireless link in the DSM-based D-band wireless fronthaul system.
In this Letter, we propose the application of delta-sigma modulation (DSM) higher-order quadrature amplitude modulation (QAM) technology in long-distance transmission of W-band wireless communication, and demonstrate, for the first time to the best of our knowledge, the wireless transmission of millimeter wave signals in the W-band based on 1-bit D...
Hyperspectral images possess a continuous and analogous spectral nature, enabling the classification of distinctive information by analyzing the subtle variations between adjacent spectra. Meanwhile, a hyperspectral dataset includes redundant and noisy information in addition to larger dimensions, which is the primary barrier preventing its use for...
SAR images are highly sensitive to observation configurations, and they exhibit significant variations across different viewing angles, making it challenging to represent and learn their anisotropic features. As a result, deep learning methods often generalize poorly across different view angles. Inspired by the concept of neural radiance fields (N...
Ship detection in low-quality Synthetic Aperture Radar (SAR) images poses a persistent challenge. Noise signals in complex environments disrupt imaging conditions, hindering SAR systems from acquiring precise target information, thereby significantly compromising the performance of detectors. Some methods mitigate interference via denoising techniq...
We have implemented a large-capacity, long-haul, and high spectral efficiency photonics-based polarization multiplexing communication system at W-band. The signal delivery up to 119.1 Gb/s with spectral efficiency of 9.9 bit/s/Hz is achieved over a 10 km optic-fiber link and 4600 m wireless link. In our study, we utilize an orthogonal frequency div...
Background
Physical activity is associated with health-related quality of life (HRQoL) among older adults, and both are associated with mood, such as depression. However, the indirect effects of physical activity on HRQoL in older adults have not been clearly established. This study explains how physical activity is associated with HRQoL while cons...
Terahertz band (0.1 to 10 THz) with high carrier frequency and large available bandwidth has become a promising candidate to meet the 100 Gbit/s or even 1 Tbit/s data rate required by the future six-generation (6G) mobile communication networks. Compared with the all-electrical methods to generate terahertz signals, the photon-assisted technology c...
Electrically-large slot structures are common in building facades which are of great interest in scattering modeling for remote sensing and wireless communication applications. Existing models are often of high computational complexity and not directly integratable with ray tracing simulation engine. This paper develops a dedicated bidirectional sc...
Synthetic Aperture Radar (SAR) provides an effective method for target recognition. Scattering features extraction from the SAR data can contribute to obtaining the physical features of the target, which is important for radar target recognition. The attributed scattering center (ASC) is widely used in the accurate modeling of target scattering. Th...
Despite the remarkable progress made in recent years, until today, the automatic detection of changes in synthetic aperture radar (SAR) images remains a difficult task due to speckle noise. This inherent multiplicative noise tends to increase false alarms and misdetections. As a solution, we developed an unsupervised method that detects SAR changes...
In this work, a novel Ba(II) coordination polymer (CP) loaded with paroxetine was synthesized and successfully loaded into the hyaluronic acid/carboxymethyl chitosan hydrogels. The scanning electron microscopy showed that the hydrogels had a typical macroporous structure. In the biological section, the as-created treatment activity on the depressio...
We experimentally demonstrated a low-complexity probabilistic shaping scheme in a real-time 16QAM-OFDM-based WDM-PON. The PS-OFDM signal with a net rate of 131.88- Gb/s transmission over 25-km SSMF can be achieved with the BER less than 3.8×10 ⁻³ .
From the perspective of wireless transmission distance in the terahertz-band (THz-band), the 10-100 m, 100-1000 m, and ≥1000 m ranges are recommended for indoor communications, medium-distance communications, and long-distance communications, respectively. However, most existing photonic terahertz communication demonstrations reported in previous s...
Geometric structural information of objects in SAR images is of great significance in target detection and analysis. Existed orthorectification methods of SAR images generally follow the traditional routes of optical images, resulting in suffering from the influence of layover and bring difficulties in image analysis or target extraction without su...
Remote sensing image registration is one of the crucial steps in remote sensing image processing, where ground control information is essential. Maintenance of control point databases is complex and expensive. Consequently, lightweight feature databases are emerging. Lightweight feature databases need store stable and reproducible features. In this...
Semi-supervised learning is a forcible method to lessen the cost of annotation for remote sensing semantic segmentation tasks. Recent related researches indicate that consistency training is one of the most effective strategies in semi-supervised learning. The core of consistency training is maintaining model outputs consistent under various pertur...
Multi-sensor remote sensing applications require the registration of optical and Synthetic Aperture Radar (SAR) images, which presents challenges due to significant radiometric and geometric differences resulting from distinct imaging mechanisms. Although various algorithms have been proposed, including hand-crafted features and deep learning netwo...
In a photonics-aided mm-wave communication system, we successfully achieved W-band long-distance transmission of PDM-1024QAM/2048QAM signals over 4.6 km by using a PTFE lenses and Delta-Sigma Modulator (DSM).
Convolutional neural networks (CNNs) have been widely used in SAR (Synthetic Aperture Radar) target recognition, which can extract feature automatically. However, due to its own structural flaws, CNNs are easy to be fooled by adversarial examples, even if they have excellent performance. In this letter, a novel attack named scattering center model...
To address the challenges in synthetic aperture radar (SAR) ship target detection, this paper proposes a SAR ship small target orientation detector named FADet based on semantic flow feature alignment and Gaussian label matching. First, to solve the feature misalignment problem caused by feature extraction downsampling and residual connections, we...
For the first time, we successfully transmit 1.25GBaud OFDM-256QAM/1024QAM signals over 20km SMF and 400m wireless link at the terahertz band with 1-bit DSM. The BER of OFDM-256QAM/1024QAM can satisfy the FEC threshold of 3.8×10 ⁻³ /4.0×10 ⁻² .
We have experimentally demonstrated photonics-aided bidirectional full-duplex delivery of 103Gbps PS-256QAM signals over 20-km single-mode fiber wireline link and 4600 m wireless link based on the polarization-division-multiplexing scheme and advanced DSPs.
Due to the limited penetration of visible bands, optical remote sensing images are inevitably contaminated by clouds. Therefore, cloud detection or cloud mask products for optical image processing is a very important step. Compared with conventional optical remote sensing satellites (such as Landsat series and Sentinel-2), sustainable development s...
We have proposed and experimentally implemented a photonics-aided large-capacity long-distance mm-wave bidirectional full-duplex communication system at the W-band based on polarization multiplexing. The same radio frequency (RF) carrier source is shared by both the uplink and the downlink, and a pair of orthomode transducers (OMTs) are used to sep...
Accurate extraction of urban impervious surface (UIS) is essential for urban planning and environmental monitoring. However, multispectral remote sensing data for UIS extraction suffers from the inter-class spectral confusions, e.g. UIS and bare soil, and intra-class variations of sub-class UIS. Hyperspectral and full/dual-polarization synthetic ap...
The radar clutter model is a vital characteristic of the environment. As the scene becomes more complicated, the closed-loop design of cognitive radar system can use feedback information to improve target detection performance. We propose a new model selection method based on the MLP(Multi-Layer-Perceptron) and simulated clutter curves of generaliz...
SAR image land cover classification can achieve the pixel-level category according to different characteristics of the target. A novel multi-scale feature extraction network combining transformer and convolutional neural networks (CNN) is proposed and verified on the high-resolution Gaofen-3 dataset labeled manually. The experimental results demons...
With the availability of public high-resolution remote sensing datasets, it has become a trend to realize land cover classification using deep learning methods. However, supervised semantic segmentation requires an accurate label at the pixel level as the ground truth of image. This is a challenge to remote sensing data with big data characteristic...
We proposed and established a large-capacity, long-distance wireless millimeter-wave (mm-wave) signal delivery system at W-band based on photonics-aided mm-wave generation technology, polarization-division-multiplexing (PDM), and advanced devices. We demonstrated the wireless transmission of 10-Gbaud PDM-QPSK, PDM-16QAM, and PDM-PS-64QAM mm-wave si...
Spliced optical satellite cameras suffering from low stitching accuracy are influenced by various factors which can greatly restrict their applications. Most previous studies have focused on the geometric precision of stitched images, which is influenced by the stitching consistency and the relationships between different inner CCD (Charge-Coupled...
Introduction
Dementia has become a public health priority and is irreversible. Mild cognitive impairment (MCI), an intermediate state between normal cognition and dementia, is the prime time for early diagnosis and intervention. The activities of daily living of dementia patients are usually insufficient. Therefore, continuing to explore the risk f...
Photonics technology is a promising way to generate high-frequency millimeter waves, which is also a key technology to realize the convergence of fiber-optic and wireless communication. To meet the actual application requirements, kilometer-level wireless distance, large-capacity, and high-spectral-efficiency systems are urgent requirements. Based...
Multi-temporal synthetic aperture radar interferometry (MT-InSAR) is able to detect surface deformation and reconstruct a 3D surface model with high precision but requires a long observation period to accumulate the multi-baseline SAR images. The airborne array InSAR system is able to acquire a stack of multi-baseline SAR images in a single acquisi...
Based on a photonics-aided scheme, we achieve an experimental demonstration of a, to the best of our knowledge, record-breaking 200-m terahertz (THz)-wave wireless delivery at 335 GHz with the aid of a pair of high-gain polytetrafluoroethylene (PTFE) lenses. By using a 10-GBaud probabilistically shaped 64-ary quadrature amplitude modulation (PS-64Q...
The generation of topographic classification maps or relative heights from aerial or remote sensing images represents a crucial research tool in remote sensing. On the one hand, from auto-driving, three-dimensional city modeling, road design, and resource statistics to smart cities, each task requires relative height data and classification data of...
The radio-over-fiber (RoF) orthogonal frequency division multiplexing (OFDM) system at Terahertz (THz) band has been a promising solution to meet the demand for high capacity and flexibility. The signals transmitted in the RoF system will suffer severe impairments caused by the wireless multi-path effect, optical fiber transmission, and photoelectr...
We provided a feasible solution for 800-Gb/s per carrier long-distance wavelength division multiplexing (WDM) coherent optical fibre transmission based on offline DSP. We experimentally demonstrate 5-carrier 125-GHz-spacing WDM coherent optical fibre transmission achieving 2000-km transmission distance and 800-Gb/s net bit rate per carrier. We util...
Orthogonal frequency division multiplexing (OFDM) is a promising solution in photonics-aided millimeter-wave (MMW) communication systems, which combine the features of fiber and wireless links. In such a fiber-wireless system, the broadband OFDM signals could be affected by the multipath effect, chromatic dispersion, frequency synchronization error...
The existence of multiplicative noise in synthetic aperture radar (SAR) images makes SAR segmentation by fuzzy c-means (FCM) a challenging task. To cope with speckle noise, we first propose an unsupervised FCM with embedding log-transformed Bayesian non-local spatial information (LBNL_FCM). This non-local information is measured by a modified Bayes...
The existing slender target detection methods based on optical satellite images are greatly affected by the satellite perspective and the solar perspective. Due to limited data sources, it is difficult to implement a fully data-driven approach. This work introduces the imaging parameters of optical satellite images, which greatly reduces the influe...
As an all-weather and all-day remote sensing image data source, SAR (Synthetic Aperture Radar) images have been widely applied, and their registration accuracy has a direct impact on the downstream task effectiveness. The existing registration algorithms mainly focus on small sub-images, and there is a lack of available accurate matching methods fo...
We propose a dual gated recurrent unit neural network based on nonlinear equalizer (dual-GRU NLE) for radio-over-fiber (ROF) communication systems. The dual equalization scheme is mainly based upon GRU algorithm, which can be trained via two steps including I-GRU and Q-GRU. By using the dual-GRU equalizer, 60-Gbps 64-QAM signal generation and trans...
Radiometric normalization (RN) minimizes the radiometric inconsistencies between images in synthetic aperture radar (SAR) mosaic images. However, the radiometric principle of SAR has not been fully considered by the existing methods. To this issue, a radiometric-principle-based RN (RPRN) method is proposed. First, image areas with consistent covera...
This article extends the segmental aperture imaging (SAI) algorithm, which tackles the challenges of synthetic aperture radar (SAR) imaging of miniaturized synthetic aperture radar (MiniSAR) onboard multirotor unmanned aerial vehicle (UAV). The SAI algorithm is developed based on an accurate phase error model of both translational and rotational mo...
A novel photonics-based THz band high-resolution radar sensing, and a long-distance communication system integrated architecture was proposed and experimentally demonstrated. To the best of our knowledge, 60 Gbit/s THz signals at 340 GHz band were delivered over 50 m wireless distance with an integrated 1.58 cm resolution radar for the first time.
Multi-temporal synthetic aperture radar interferometry (MT-InSAR) is able to reconstruct a 3D surface model with high precision but requires a long waiting time to get the multi-baseline SAR images. Array-InSAR system can acquire multi-baseline images in a single flight, which significantly improves the practical capability of 3D reconstruction. Ho...
We experimentally demonstrate 16-GBaud PS-256QAM signal transmission over 104-m wireless distance at 339 GHz in a photonics-aided THz-wave communication system, achieving a record single line rate of 124.8 Gbit/s and net SE of 6.2 bit/s/Hz.
We experimentally demonstrated the delivery of 103.2 Gb/s 4096QAM signal over 180m wireless distance at D-band employing truncated probabilistic shaping and MIMO Volterra Compensation, with the value of NGMI exceeds the threshold of 0.83
We implement a digital chaos-based encryption scheme in a photonics-aided terahertz radio-over-fiber (ROF) system operating at 340 GHz. The encrypted PS-64QAM-OFDM signal is successfully transmitted over 20 km SSMF and 54 m wireless link.
Reservoir computing (RC) is a novel computational framework derived from recurrent neural networks (RNN). It can reduce the training complexity of RNN and is suitable for time-series learning tasks. The echo state network (ESN) is one of the most popular forms of RC. In this paper, an ESN-based equalizer is applied to perform signal equalization in...
As two of the most widely used remote sensing images, optical and synthetic aperture radar (SAR) images show abundant and complementary information on the same target owing to their individual imaging mechanisms. Consequently, using optical and SAR images simultaneously can better describe the inherent features of the target, and thus, be beneficia...
Despite impressive progress in the past decade, accurate and efficient multi-view SAR image registration remains a challenging task due to complex imaging mechanisms and various imaging conditions. Especially for rugged areas, SAR images obtained from the opposite-side view reflect different characteristics, making popular SAR image registration me...
Accurate optical and Synthetic Aperture Radar (SAR) image registration is crucial to multi-sensor remote sensing applications. Though several algorithms have been proposed, the practical implementation that directly matches large and high-resolution optical and SAR images remains under-explored by the community. Equipped with the satellite position...
Epipolar images can improve the efficiency and accuracy of dense matching by restricting the search range of correspondences from 2-D to 1-D, which play an important role in 3-D reconstruction. As most of the satellite images in archives are incidental collections, which do not have rigorous stereo properties, in this paper, we propose a general fr...
Object detection has made great progress. However, due to the unique imaging method of optical satellite remote sensing, the detection of slender targets is still insufficient. Specifically, the perspective of optical satellites is small, and the characteristics of slender targets are severely lost during imaging, resulting in insufficient detectio...
Land cover classification is the basic task of remote sensing image interpretation. Related methods have developed rapidly, especially the branch based on deep learning (DL). For high-resolution remote sensing images, the smaller inter-class difference and greater intra-class difference are two obstacles to improving the classification accuracy. Fo...
Deep convolutional neural networks (DCNNs) have been used to achieve state-of-the-art performance on land cover classification thanks to their outstanding nonlinear feature extraction ability. DCNNs are usually designed as an encoder–decoder architecture for the land cover classification in very high-resolution (VHR) remote sensing images. The enco...
5G defines below 100 GHz as the millimeter-wave bands, whereas 100 GHz - 3 THz is categorized as THz band in 6G. Deep leraning (DL) is expected to enable a significant paradigm shift in 6G wireless networks. In this paper, D-band 90-Gbps single channel PAM-4 signal generation and transmission over 10-km SMF and 3-m wireless link at 140-GHz can be a...
Citations
... However, due to the wireless broadcast transmission of signals and the open structure of optical fiber communication system, information leakage easily leads to security issues in the RoF system. Meanwhile, the continuous evolution of optical fiber eavesdropping technologies poses a threat to the security of optical communication systems [3,4]. Therefore, it is essential to strengthen the physical layer security of the RoF system. ...
... Unlike traditional segmentation-based seamline extraction techniques, this paper employs joint segmentation of SAR images to process the overlapping areas. For individual image segmentation, the fractal net evolution approach (FNEA) is used to generate superpixels [35]. FNEA is a bottom-up area-merging algorithm that uses spectral and shape features to describe each parcel. ...
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... The negative effects of depression on mental and behavioral states include a vast range of changes in feeling worthy, hopefulness, self-care behaviors, and quality of life [11]. Studies have indicated that depression is correlated with fundamental variables in the elderly, such as cognitive impairment [12], increased risk of hospital-treated conditions [13] increased suicide [14], and decreased health-related quality of life [15,16]. ...
... Martins et al. proposed a boundary feature-driven MSER (fMSER) [36]. Zhao et al. proposed a salient map-based MSER (SMSER) [37]. The majority of MSER-based detection methods employ the histogram of gradient directions to describe the acquired feature regions, with SIFT being a common method of description [38][39][40][41]. ...
... Since then, the use of phase features to process MRSI has become mainstream due to the light invariance and NRD resistance of phase features [36]. For example, Xiang et al. [37] realizes the registration of 3 > REPLACE THIS LINE WITH YOUR MANUSCRIPT ID NUMBER (DOUBLE-CLICK HERE TO EDIT) < optical-SAR image through the global-local registration method and optimization of the phase congruency model. Yang et al. [38] designed a semi-automatic registration method for Chang'e-1 IIM images calculating NCC in the frequency domain. ...
... Compared with the previously proposed virtual-carrier-assisted schemes with only 16/64 QAM [12,13], our proposed scheme is successfully implemented with a high-order format. This achievement is attributed to the significant quantization of the SNR gain generated through oversampling and noise-shaping technology [14][15][16]. The transmitter data is generated using software-based digital signal processing (DSP), while the in-phase/quadrature (I/Q) modulator generates the optical dual-SSB. ...
... The size of the input network spectral dimension is affected by the channel number, and the size of spatial input sizes determines the amount of spatial information and redundant information [40]. The fitting degree and processing speed of the model are determined by the size of the dropout [41]. From Figures 12-15, the optimal values of the hyperparameters for different hyperspectral datasets are different. ...
... Currently, adaptive equalization is adopted for compensating for chromatic dispersion (CD) and polarization mode dispersion (PMD) [5]. Real-time digital signal processing (DSP) has always been a promising solution [6][7][8][9][10][11][12]. However, DSP occupies about 50% of the power consumption of the entire optical module [13], and many efforts are limited to reducing the complexity of offline high-complexity algorithms and may not in the area of communication, they have great enlightening value for the design of real-time equalization in PONs. ...
... Numerous works exist that address weak (e.g., coarse) labels in earth imagery segmentation for convolutional neural networks or vision transformers. Techniques include utilizing teacher-student framework (Wang et al. 2020a;Guo et al. 2023), designing robust loss function (Mnih and Hinton 2012;Malkin et al. 2018), incorporating geometric properties of spatial labels into learning framework (He et al. 2022a;Jiang et al. 2022), and learning multi-scale features (Yang et al. 2012;Robinson et al. 2019;Cao and Huang 2022). However, these methods do not incorporate physical knowledge and thus may produce physically implausible results, i.e., erroneous predictions that violate physical constraints. ...
... Many common materials and tissues are semi-transparent and have 'terahertz signatures', allowing us to identify and analyze samples. THz frequency band is not only significant for identification and sample analysis but also promises extensive utility in emerging domains such as 6G technology to achieve a remarkable rapid data transfer rate up to 6.4 Terabit/s using a 20 km fiber optic connection and 54 m wireless setup [1]. Concurrently, numerous research teams are actively engaged in exploring agricultural applications, such as the detection of pesticides in soil [2] and identifying grass seed infestations [3], aimed at averting potential health hazards, including biomedical applications, spectroscopy [4,5], secure fingerprinting, neuromodulation [6] and signal processing [7], etc. ...
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