Results 31 to 40 of about 2,397 (207)
Earth and Space Science, Volume 10, Issue 1, January 2023., 2023 Abstract Seasonal subsidence induced by ground ice melt can be measured by interferometric synthetic aperture radar (InSAR) techniques to infer active layer thickness (ALT) in permafrost regions. The magnitude of subsidence depends on both how deep the soil thawed and how much ice/water content existed in the active layer soil.
Richard H. Chen +9 more
wiley +1 more source
Polarimetric SAR image classification using binary coding‐based polarimetric‐morphological features
IET Image Processing, Volume 16, Issue 14, Page 3715-3736, 11 December 2022., 2022 Abstract Polarimetric synthetic aperture radar (POLSAR) systems provide high resolution images containing polarimetric information. So, they have high capability in land cover classification. In this work, a binary coding‐based polarimetric‐morphological (BCPM) feature extraction is proposed for POLSAR image classification.
Maryam Imani
wiley +1 more source
A Novel Multi-Feature Joint Learning Method for Fast Polarimetric SAR Terrain Classification
IEEE Access, 2020 Polarimetric synthetic aperture radar (PolSAR) image classification is one of the most important study areas for PolSAR image processing. Many kinds of PolSAR features can be extracted for PolSAR image classification, such as the scattering, polarimetric
Junfei Shi, Haiyan Jin, Xiaohua Li
doaj +1 more source
Canadian Journal of Remote Sensing, 2023 Polarimetric synthetic aperture radar (PolSAR) images are classified mainly according to the backscattering information of ground objects. For regions with complex backscattering information, misclassification is easy to occur, which leads to challenges ...
Yan Duan +3 more
doaj +1 more source
Analytic Expressions for Stochastic Distances Between Relaxed Complex Wishart Distributions [PDF]
, 2013 The scaled complex Wishart distribution is a widely used model for multilook full polarimetric SAR data whose adequacy has been attested in the literature.
Cintra, Renato J. +2 more
core +1 more source
IEEE Access, 2019 Unsupervised polarimetric synthetic aperture radar (PolSAR) image classification is an important task in PolSAR automatic image analysis and interpretation.
Huanxin Zou +3 more
doaj +1 more source
Optimum graph cuts for pruning binary partition trees of polarimetric SAR images [PDF]
, 2016 This paper investigates several optimum graph-cut techniques for pruning binary partition trees (BPTs) and their usefulness for the low-level processing of polarimetric synthetic aperture radar (PolSAR) images.
Foucher, Samuel +1 more
core +2 more sources
PolSAR Image Classification with Lightweight 3D Convolutional Networks [PDF]
Remote Sensing, 2020 Convolutional neural networks (CNNs) have become the state-of-the-art in optical image processing. Recently, CNNs have been used in polarimetric synthetic aperture radar (PolSAR) image classification and obtained promising results. Unlike optical images, the unique phase information of PolSAR data expresses the structure information of objects.
Hongwei Dong, Lamei Zhang, Bin Zou
openaire +2 more sources
European Journal of Remote Sensing, 2021 Synthetic aperture radar (SAR), with all-day and all-weather observation capabilities, can capture the phenology of crops with short growth cycles to improve land cover classification results.
Di Liu +5 more
doaj +1 more source
A New Architecture of a Complex-Valued Convolutional Neural Network for PolSAR Image Classification
Remote Sensing, 2023 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 were insufficient in achieving satisfactory results before the advent ...
Yihui Ren, Wen Jiang, Ying Liu
doaj +1 more source