Nonlinear Projective Dictionary Pair Learning for PolSAR Image Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3078232
Abstract: Polarimetric synthetic aperture radar (PolSAR) image classification has become a hot research topic in recent years. Sparse representation plays an important role in image processing. However, almost all the existing dictionary learning methods are linear… read more here.
Keywords: projective dictionary; image classification; image; polsar image ... See more keywords
DNN-Based PolSAR Image Classification on Noisy Labels
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3168799
Abstract: Deep neural networks (DNNs) appear to be a solution for the classification of polarimetric synthetic aperture radar (PolSAR) data in that they outperform classical supervised classifiers under the condition of sufficient training samples. The design… read more here.
Keywords: noisy labels; dnn based; classification; training ... See more keywords
Semisupervised Deep Convolutional Neural Networks Using Pseudo Labels for PolSAR Image Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3036387
Abstract: Deep-learning-based methods have obtained satisfying results in polarimetric synthetic aperture radar (PolSAR) image classification. However, these methods require large numbers of labeled samples, which are usually time-consuming and high-priced for PolSAR images. To address this… read more here.
Keywords: pseudo labels; labeled samples; classification; polsar image ... See more keywords
A Statistical-Spatial Feature Learning Network for PolSAR Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3100431
Abstract: Polarimetric synthetic aperture radar (PolSAR) image classification plays an important role in the development of remote sensing image interpretation for the rich polarization information. Generative methods learn the statistical distribution characteristic of the scattered echoes… read more here.
Keywords: spatial feature; image classification; polsar image; image ... See more keywords
PolSAR Image Classification Based on Complex-Valued Convolutional Long Short-Term Memory Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3146928
Abstract: Polarimetric synthetic aperture radar (PolSAR) image classification is an essential part of PolSAR image interpretation. In recent years, convolutional neural networks (CNNs) have made significant advances in PolSAR image classification. However, the current CNN-based methods… read more here.
Keywords: information; image classification; classification; network ... See more keywords
PolSAR Image Classification Based on Deep Convolutional Neural Networks Using Wavelet Transformation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3185118
Abstract: Shallow convolutional neural networks (CNNs) have successfully been used to classify polarimetric synthetic aperture radar (PolSAR) imagery. However, one drawback of the existing deep CNN-based techniques is that the input PolSAR training data are often… read more here.
Keywords: neural networks; classification; polsar; polsar image ... See more keywords
PolSAR Image Classification Using Hybrid Conditional Random Fields Model Based on Complex-Valued 3-D CNN
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2021.3050648
Abstract: In this article, we propose a hybrid conditional random field model based on complex-valued 3-D convolutional neural network (C3NN), named as HCRF-C3NN, for polarimetric synthetic aperture radar (PolSAR) image classification. HCRF-C3NN combines the modeling power… read more here.
Keywords: image classification; hcrf c3nn; c3nn; polsar image ... See more keywords
Multifrequency PolSAR Image Fusion Classification Based on Semantic Interactive Information and Topological Structure
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3264560
Abstract: Compared with the rapid development of single-frequency polarimetric synthetic aperture radar (PolSAR) image classification technology, there is less research on the land cover classification of multifrequency PolSAR (MF-PolSAR) images. Also, the deep learning methods among… read more here.
Keywords: information; multifrequency; fusion; classification ... See more keywords
Segmentation of multi-temporal polarimetric SAR data based on mean-shift and spectral graph partitioning
Sign Up to like & getrecommendations! Published in 2022 at "PeerJ"
DOI: 10.7717/peerj.12805
Abstract: Abstract Polarimetric SAR (PolSAR) image segmentation is a key step in its interpretation. For the targets with time series changes, the single-temporal PolSAR image segmentation algorithm is difficult to provide correct segmentation results for its… read more here.
Keywords: segmentation; polsar; multi temporal; temporal polsar ... See more keywords