Results 91 to 100 of about 3,144 (202)
CFAR-Based Adaptive PolSAR Speckle Filter
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018 The patch-based polarimetric synthetic aperture radar (PolSAR) nonlocal means (NLM) speckle filters are efficacious in noise suppression and detail preservation, but are computationally inefficient. The objective of this paper is to develop a filter that provides better noise suppression and edge preservation along with reduced computational complexity
Rakesh Sharma, Rajib Kumar Panigrahi
openaire +2 more sources
A Review on PolSAR for FOPEN Applications
Abstract: PolSAR has become a significant focus of research due to its wide-ranging applications in structural monitoring, foliage penetration, and target detection. Despite its potential, work on FOPEN remains limited and often inconsistent, largely because forest environments differ considerably in structure and density. Integrating PolSAR with FOPEN
Afaan Shaikh +5 more
openaire +4 more sources
CV-CPKAN: Complex-Valued Convolutional Kolmogorov–Arnold Framework for PolSAR Image Classification
Remote SensingDeep learning has significantly advanced PolSAR image processing, with a growing trend of integrating mathematical theories into deep neural networks to enhance their capabilities with regard to complex data.
Zuzheng Kuang +4 more
doaj +1 more source
, 2023 Deep learning methods have been widely studied in the field of polarimetric synthetic aperture radar (PolSAR) ship detection over the past few years. However, the backscattering of manmade targets, including ships, is sensitive to the relative geometry ...
Weixing Qiu, Zongxu Pan, Jianwei Yang
core +1 more source
PolSAR Image Feature Extraction via Co-Regularized Graph Embedding
, 2020 Dimensionality reduction (DR) methods based on graph embedding are widely used for feature extraction. For these methods, the weighted graph plays a vital role in the process of DR because it can characterize the data’s structure information ...
Xiangli Nie, Xiayuan Huang, Hong Qiao
core +1 more source
A Quality Assessment Method Based on Common Distributed Targets for GF-3 Polarimetric SAR Data
Sensors, 2018 The GaoFen-3 (GF-3) satellite, launched on 10 August 2016, is the first C-band polarimetric synthetic aperture radar (PolSAR) satellite in China. The PolSAR system of GF-3 can collect a significant wealth of information for geophysical research and ...
Sha Jiang +3 more
doaj +1 more source
Comparison of PolSAR Speckle Filtering Techniques (1, 2)
, 2008 — The objective of this paper is to compare the most widely used and the most recent speckle polarimetric synthetic aperture radar (PolSAR) filters. Two new conceptual approaches in PolSAR filtering are evaluated on simulated PolSAR images.
Grégory Farage
core
Vision transformer (ViT) provides new ideas for polarization synthetic aperture radar (PolSAR) image classification due to its advantages in learning global-spatial information.
Xinyue Xin +5 more
core +1 more source
Remote SensingPolSAR image classification has attracted extensive significant research in recent decades. Aiming at improving PolSAR classification performance with speckle noise, this paper proposes an active complex-valued convolutional-wavelet neural network by ...
Lu Liu, Yongxiang Li
doaj +1 more source
Dual-Channel PolSAR Speckle Reduction Using Non-Local Means Filter [PDF]
, 2016 Intelligent speckle filters promote the efficient usage of PolSAR data. It has been validated that non-local means filter is capable of reducing noise while preserving details.
Schmitt, Andreas +2 more
core