Results 101 to 110 of about 13,122,784 (192)

MAPM:PolSAR Image Classification with Masked Autoencoder Based on Position Prediction and Memory Tokens

Remote Sensing
Deep learning methods have shown significant advantages in polarimetric synthetic aperture radar (PolSAR) image classification. However, their performances rely on a large number of labeled data.
Jianlong Wang, Yingying Li, Dou Quan, Beibei Hou, Zhensong Wang, Haifeng Sima, Junding Sun   +6 more
doaj   +1 more source

A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification. [PDF]

Sensors (Basel), 2023
Sadeghi F, Larijani A, Rostami O, Martín D, Hajirahimi P.   +4 more
europepmc   +1 more source

PolSAR Image Classification with Active Complex-Valued Convolutional-Wavelet Neural Network and Markov Random Fields

PolSAR 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
core   +1 more source

Self-Paced Convolutional Neural Network for PolSAR Images Classification

, 2019
Fully polarimetric synthetic aperture radar (PolSAR) can transmit and receive electromagnetic energy on four polarization channels (HH, HV, VH, VV). The data acquired from four channels have both similarities and complementarities.
Changzhe Jiao, Wenshuai Chen, Debo Li, Chao Chen, Xiaofeng Li, Xinlin Wang, Shuiping Gou   +6 more
core   +1 more source

Classification of PolSAR Image Using Neural Nonlocal Stacked Sparse Autoencoders with Virtual Adversarial Regularization

, 2019
Polarimetric synthetic aperture radar (PolSAR) has become increasingly popular in the past two decades, for it can derive multichannel features of ground objects, which contains more discriminative information compared with traditional SAR. In this paper,
Ruichuan Wang, Yanfei Wang
core   +1 more source

Self-Trained Deep Forest with Limited Samples for Urban Impervious Surface Area Extraction in Arid Area Using Multispectral and PolSAR Imageries. [PDF]

Sensors (Basel), 2022
Liu X, Samat A, Li E, Wang W, Abuduwaili J.   +4 more
europepmc   +1 more source

Marine Oil Spill Detection from SAR Images Based on Attention U-Net Model Using Polarimetric and Wind Speed Information. [PDF]

Int J Environ Res Public Health, 2022
Chen Y, Wang Z.
europepmc   +1 more source

BSDSNet: Dual-Stream Feature Extraction Network Based on Segment Anything Model for Synthetic Aperture Radar Land Cover Classification

Remote Sensing
Land cover classification using high-resolution Polarimetric Synthetic Aperture Radar (PolSAR) images obtained from satellites is a challenging task. While deep learning algorithms have been extensively studied for PolSAR image land cover classification,
Yangyang Wang, Wengang Zhang, Weidong Chen, Chang Chen   +3 more
doaj   +1 more source

Supervised PolSAR Image Classification with Multiple Features and Locally Linear Embedding. [PDF]

Sensors (Basel), 2018
Zhang Q, Wei X, Xiang D, Sun M.
europepmc   +1 more source

PolSAR-MPIformer: A Vision Transformer Based on Mixed Patch Interaction for Dual-Frequency PolSAR Image Adaptive Fusion Classification

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, Yan Wu, Ming Li, Dazhi Xu, Peng Zhang, Xiang Li   +5 more
core   +1 more source