Results 51 to 60 of about 2,397 (207)

Unsupervised Classification of PolSAR Data Using a Scattering Similarity Measure Derived from a Geodesic Distance

, 2017
In this letter, we propose a novel technique for obtaining scattering components from Polarimetric Synthetic Aperture Radar (PolSAR) data using the geodesic distance on the unit sphere.
Bhattacharya, Avik, Frery, Alejandro C., Ratha, Debanshu   +2 more
core   +1 more source

TCSPANet: Two-Staged Contrastive Learning and Sub-Patch Attention Based Network for PolSAR Image Classification

Remote Sensing, 2022
Polarimetric synthetic aperture radar (PolSAR) image classification has achieved great progress, but there still exist some obstacles. On the one hand, a large amount of PolSAR data is captured.
Yuanhao Cui, Fang Liu, Xu Liu, Lingling Li, Xiaoxue Qian   +4 more
doaj   +1 more source

Unsupervised PolSAR Image Classification Based on Superpixel Pseudo-Labels and a Similarity-Matching Network

Remote Sensing
Supervised polarimetric synthetic aperture radar (PolSAR) image classification demands a large amount of precisely labeled data. However, such data are difficult to obtain.
Lei Wang, Lingmu Peng, Rong Gui, Hanyu Hong, Shenghui Zhu   +4 more
doaj   +1 more source

Low frequency and radar’s physical based features for improvement of convolutional neural networks for PolSAR image classification

Egyptian Journal of Remote Sensing and Space Sciences, 2022
Although various deep neural networks such as convolutional neural networks (CNNs) have been suggested for classification of polarimetric synthetic aperture radar (PolSAR) images, but, they have several deficiencies.
Maryam Imani
doaj   +1 more source

Classification of Complex Wishart Matrices with a Diffusion-Reaction System guided by Stochastic Distances

, 2015
We propose a new method for PolSAR (Polarimetric Synthetic Aperture Radar) imagery classification based on stochastic distances in the space of random matrices obeying complex Wishart distributions.
Alvarez, Luis, Frery, Alejandro C., Gomez, Luis, Mazorra, Luis   +3 more
core   +1 more source

Fast Matrix Inversion and Determinant Computation for Polarimetric Synthetic Aperture Radar

, 2018
This paper introduces a fast algorithm for simultaneous inversion and determinant computation of small sized matrices in the context of fully Polarimetric Synthetic Aperture Radar (PolSAR) image processing and analysis.
Cintra, R. J., Coelho, D. F. G., Dimitrov, V. S., Frery, A. C.   +3 more
core   +1 more source

Interlinked Dynamics of Rice Cultivation Intensity and Ground Subsidence: Spatio‐Temporal Insights Into Water Resource Implications From Multi‐Year Spaceborne SAR Analysis

Water Resources Research, Volume 62, Issue 4, April 2026.
Abstract Sustainable rice cultivation is vital to meet global food demands, particularly in regions relying on groundwater for irrigation. Over‐pumping, however, can cause significant ground subsidence, threatening both infrastructure and agricultural sustainability.
Ya‐Lun S. Tsai, Xun‐Yan Liu
wiley   +1 more source

A Hierarchical Fully Convolutional Network Integrated with Sparse and Low-Rank Subspace Representations for PolSAR Imagery Classification

Remote Sensing, 2018
Inspired by enormous success of fully convolutional network (FCN) in semantic segmentation, as well as the similarity between semantic segmentation and pixel-by-pixel polarimetric synthetic aperture radar (PolSAR) image classification, exploring how to ...
Yan Wang, Chu He, Xinlong Liu, Mingsheng Liao   +3 more
doaj   +1 more source

Unsupervised Classification of Polarimetric SAR Image Based on Geodesic Distance and Non-Gaussian Distribution Feature

Sensors, 2021
Polarimetric synthetic aperture radar (PolSAR) image classification plays a significant role in PolSAR image interpretation. This letter presents a novel unsupervised classification method for PolSAR images based on the geodesic distance and K-Wishart ...
Junrong Qu, Xiaolan Qiu, Chibiao Ding, Bin Lei   +3 more
doaj   +1 more source

Entropy-based Statistical Analysis of PolSAR Data

, 2012
Images obtained from coherent illumination processes are contaminated with speckle noise, with polarimetric synthetic aperture radar (PolSAR) imagery as a prominent example.
Cintra, Renato J., Frery, Alejandro C., Nascimento, Abraão D. C.   +2 more
core   +1 more source