PAN: Part Attention Network Integrating Electromagnetic Characteristics for Interpretable SAR Vehicle Target Recognition
S Feng, K Ji, F Wang, L Zhang, X Ma… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Machine learning methods for synthetic aperture radar (SAR) image automatic target
recognition (ATR) can be divided into two main types: traditional methods and deep learning …
recognition (ATR) can be divided into two main types: traditional methods and deep learning …
SAR2HEIGHT: Height estimation from a single SAR image in mountain areas via sparse height and proxyless depth-aware penalty neural architecture search for Unet
M Xue, J Li, Z Zhao, Q Luo - Remote Sensing, 2022 - mdpi.com
Height estimation from a single Synthetic Aperture Radar (SAR) image has demonstrated a
great potential in real-time environmental monitoring and scene understanding. The …
great potential in real-time environmental monitoring and scene understanding. The …
Unsupervised PolSAR change detection based on polarimetric distance measurements and ConvLSTM Network
R Gui, X Zhang, J Hu, L Wang… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Time-series PolSAR are capable for continuous change monitoring of natural resources and
urban land-covers regardless of weather and lighting conditions. However, in the big SAR …
urban land-covers regardless of weather and lighting conditions. However, in the big SAR …
MBAHIL: Design of a Multimodal Hybrid Bioinspired Model for Augmentation of Hyperspectral Imagery via Iterative Learning for Continuous Efficiency Enhancements
D Saini, R Malik, R Garg, MKI Rahmani… - IEEE …, 2023 - ieeexplore.ieee.org
The augmentation of hyperspectral images requires the design of high-density feature
analysis & band-fusion models that can generate multimodal imagery from limited …
analysis & band-fusion models that can generate multimodal imagery from limited …
Physical layer mechanisms for coherent change detection
EA Marengo - Radar Sensor Technology XXVII, 2023 - spiedigitallibrary.org
Coherent change detection (CCD) is an approach for detecting changes in a region that is
based on interferometric-type processing of existing data or imagery. It is utilized in satellite …
based on interferometric-type processing of existing data or imagery. It is utilized in satellite …