Results 21 to 30 of about 3,590 (264)
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
A Novel Deep Fully Convolutional Network for PolSAR Image Classification
Remote Sensing, 2018 Polarimetric synthetic aperture radar (PolSAR) image classification has become more and more popular in recent years. As we all know, PolSAR image classification is actually a dense prediction problem.
Yangyang Li +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
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
IET Radar, Sonar &Navigation, Volume 16, Issue 12, Page 1924-1935, December 2022., 2022 Abstract In this paper, the terrain effect on parameter inversion performance of polarimetric synthetic aperture radar (PolSAR) and polarimetric SAR interferometry (PolInSAR) are analysed first. Based on the analysis of the terrain effect on single pixel processing, the terrain effect between adjacent pixels is addressed for both PolSAR and PolInSAR ...
Suo Zhiyong +3 more
wiley +1 more source
Classification of Polarimetric SAR Images Based on the Riemannian Manifold
Leida xuebao, 2017 Classification is one of the core components in the interpretation of Polarimetric Synthetic Aperture Radar (PolSAR) images. A new PolSAR image classification approach employs the structural properties of the Riemannian manifold formed by PolSAR ...
Yang Wen +3 more
doaj +1 more source
Object-Based Classification of PolSAR Images Based on Spatial and Semantic Features
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 High-resolution polarimatric synthetic aperture radar (PolSAR) images can provide more detail information on land-cover types and increase the image complexity at the same time.
Bin Zou, Xiaofang Xu, Lamei Zhang
doaj +1 more source
IET Radar, Sonar & Navigation, 2022 There are two types of important information in a polarimetric synthetic aperture radar (PolSAR) image: spatial features in two dimensions and polarimetric characteristics in the scattering dimension. Considering both polarimetric and spatial information
Maryam Imani
doaj +1 more source
On the use of the l(2)-norm for texture analysis of polarimetric SAR data [PDF]
, 2016 In this paper, the use of the l2-norm, or Span, of the scattering vectors is suggested for texture analysis of polarimetric synthetic aperture radar (SAR) data, with the benefits that we need neither an analysis of the polarimetric channels separately ...
Deng, xinping, López Martínez, Carlos
core +2 more sources