Exploring vision transformers for polarimetric SAR image classification
H Dong, L Zhang, B Zou - IEEE Transactions on Geoscience …, 2021 - ieeexplore.ieee.org
As one of the most popular topics in polarimetric synthetic aperture radar (PolSAR)
community, PolSAR image classification has always been an important way for PolSAR …
community, PolSAR image classification has always been an important way for PolSAR …
Fast task-specific region merging for SAR image segmentation
In existing superpixel-wise segmentation algorithms, superpixel generation most often is an
isolated preprocessing step. The segmentation performance is determined to a certain …
isolated preprocessing step. The segmentation performance is determined to a certain …
A lightweight complex-valued DeepLabv3+ for semantic segmentation of PolSAR image
Semantic image segmentation is one kindof end-to-end segmentation method which can
classify the target region pixel by pixel. As a classic semantic segmentation network in …
classify the target region pixel by pixel. As a classic semantic segmentation network in …
Unsupervised spatial-spectral cnn-based feature learning for hyperspectral image classification
The rapid development of remote sensing sensors makes the acquisition, analysis, and
application of hyperspectral images (HSIs) more and more extensive. However, the limited …
application of hyperspectral images (HSIs) more and more extensive. However, the limited …
Attentional feature refinement and alignment network for aircraft detection in SAR imagery
Aircraft detection in Synthetic Aperture Radar (SAR) imagery is a challenging task in SAR
Automatic Target Recognition (SAR ATR) areas due to aircraft's extremely discrete …
Automatic Target Recognition (SAR ATR) areas due to aircraft's extremely discrete …
Polarimetric SAR image classification based on feature enhanced superpixel hypergraph neural network
J Geng, R Wang, W Jiang - IEEE Transactions on Geoscience …, 2022 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) images can capture abundant spatial and polarimetric
information of land cover objects, and thus polarimetric SAR (PolSAR) image classification …
information of land cover objects, and thus polarimetric SAR (PolSAR) image classification …
Large-difference-scale target detection using a revised Bhattacharyya distance in SAR images
J Tang, J Cheng, D Xiang, C Hu - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
Small target detection is a very challenging problem since a small target contains only a few
pixels in size. At present, many deep learning-based detection algorithms for small targets …
pixels in size. At present, many deep learning-based detection algorithms for small targets …
Vessel detection from nighttime remote sensing imagery based on deep learning
J Shao, Q Yang, C Luo, R Li, Y Zhou… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
The continuous and rapid detection of sea vessels on a large scale is of great importance in
marine traffic management, resource protection, and rights maintenance. Nighttime remote …
marine traffic management, resource protection, and rights maintenance. Nighttime remote …
AIR-PolSAR-Seg: A large-scale data set for terrain segmentation in complex-scene PolSAR images
Polarimetric synthetic aperture radar (PolSAR) terrain segmentation is a fundamental
research topic in PolSAR image interpretation. Recently, many studies have been …
research topic in PolSAR image interpretation. Recently, many studies have been …
[HTML][HTML] A new architecture of a complex-valued convolutional neural network for PolSAR image classification
Y Ren, W Jiang, Y Liu - Remote Sensing, 2023 - mdpi.com
Polarimetric synthetic aperture radar (PolSAR) image classification has been an important
area of research due to its wide range of applications. Traditional machine learning methods …
area of research due to its wide range of applications. Traditional machine learning methods …