Results 31 to 40 of about 12,268,087 (190)

Multichannel semi-supervised active learning for PolSAR image classification

International Journal of Applied Earth Observations and Geoinformation
Deep neural networks have recently been extensively utilized for Polarimetric synthetic aperture radar (PolSAR) image classification. However, this heavily relies on extensive labeled data which is both costly and labor-intensive. To lower the collection
Wenqiang Hua, Yurong Zhang, Hongying Liu, Wen Xie, Xiaomin Jin   +4 more
doaj   +2 more sources

A 3-D Convolutional Vision Transformer for PolSAR Image Classification and Change Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The scattering properties of targets in polarimetric synthetic aperture radar (PolSAR) images are directly influenced by the targets' orientations, as the scattering properties from the same target with different orientations can be very different.
Lei Wang, Rong Gui, Hanyu Hong, Jun Hu, Lei Ma, Yu Shi   +5 more
doaj   +2 more sources

MCDiff: A Multilevel Conditional Diffusion Model for PolSAR Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the swift advancement of deep learning, significant strides have been made in polarimetric synthetic aperture radar (PolSAR) image classification, particularly with the advent of diffusion models that allow for explicit class probability modeling ...
Qingyi Zhang, Xiaoxiao Fang, Tao Liu, Ronghua Wu, Liguo Liu, Chu He   +5 more
doaj   +2 more sources

A Deep Similarity Clustering Network With Compound Regularization for Unsupervised PolSAR Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Polarimetric synthetic aperture radar (PolSAR) image classification is a critical application of remote sensing image interpretation. Most of the early algorithms that use hand-crafted features to divide the image into various scattering categories have ...
Yixin Zuo, Guangzuo Li, Wenjuan Ren, Yuxin Hu   +3 more
doaj   +2 more sources

PolSAR Image Classification Via a Multigranularity Hybrid CNN-ViT Model With External Tokens and Cross-Attention

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the development of deep learning technology, the application of convolutional neural network (CNN) and vision transformer (ViT) for polarimetric synthetic aperture radar (PolSAR) image classification has been deepened.
Wenke Wang, Jianlong Wang, Dou Quan, Meijuan Yang, Junding Sun, Bibo Lu   +5 more
doaj   +2 more sources

Fisher Vectors for PolSAR Image Classification [PDF]

IEEE Geoscience and Remote Sensing Letters, 2017
In this letter, we study the application of the Fisher vector (FV) to the problem of pixelwise supervised classification of polarimetric synthetic aperture radar images. This is a challenging problem since information in those images is encoded as complex-valued covariance matrices. We observe that the real parts of these matrices preserve the positive
Javier A. Redolfi, Jorge Sánchez 0002, Ana Georgina Flesia   +2 more
openaire   +3 more sources

Classification of PolSAR Images by Stacked Random Forests [PDF]

ISPRS International Journal of Geo-Information, 2018
This paper proposes the use of Stacked Random Forests (SRF) for the classification of Polarimetric Synthetic Aperture Radar images. SRF apply several Random Forest instances in a sequence where each individual uses the class estimate of its predecessor as an additional feature. To this aim, the internal node tests are designed to work not only directly
Ronny Hänsch, Olaf Hellwich
openaire   +3 more sources

DNN-Based PolSAR Image Classification on Noisy Labels

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
This work was supported in part by the National Natural Science Foundation of China under Grant 61871413 and Grant 61801015, in part by the Fundamental Research Funds for the Central Universities under Grant XK2020-03, in part by China Scholarship Council under Grant 2020006880033, and in part by Grant PID2020-114623RB-C32 funded by MCIN/AEI/10.13039 ...
Jun Ni, Deliang Xiang, Zhiyuan Lin, Carlos López-Martínez, Wei Hu 0004, Fan Zhang 0007   +5 more
openaire   +3 more sources

Polarimetric Convolutional Network for PolSAR Image Classification [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2019
15 ...
Xu Liu 0006, Licheng Jiao, Xu Tang 0004, Qigong Sun, Dan Zhang   +4 more
openaire   +4 more sources

A New Parallel Dual-Channel Fully Convolutional Network Via Semi-Supervised FCM for PolSAR Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Convolutional neural network (CNN) has achieved remarkable success in polarimetric synthetic aperture radar (PolSAR) image classification. However, the PolSAR image classification is a pixelwise prediction assignment.
Feng Zhao, Min Tian, Wen Xie, Hanqiang Liu   +3 more
doaj   +1 more source