Results 81 to 90 of about 1,703,074 (177)
Earth and Space Science, Volume 11, Issue 1, January 2024.Abstract The potential of single date fully Polarimetric RADARSAT‐2 data in retrieving crop biophysical parameters using Machine Learning techniques was investigated. Various polarimetric parameters along with coherent and incoherent decomposition techniques were assessed for its sensitivity toward crop parameters like Wet and Dry Biomass, Crop Height,
Dharanya Thulasiraman +4 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
Polarimetric SAR Image Classification Using Multiple-feature Fusion and Ensemble Learning
Leida xuebao, 2016 In this paper, we propose a supervised classification algorithm for Polarimetric Synthetic Aperture Radar (PolSAR) images using multiple-feature fusion and ensemble learning.
Sun Xun +3 more
doaj +1 more source
PolSAR Classification Using Contextual Based Locality Preserving Projection and Guided Filtering
International Journal of Information and Communication Technology Research, 2021 Contextual feature extraction is studied for polarimetric synthetic aperture radar (PolSAR) image classification in this work. The contextual locality preserving projection (CLPP) method is proposed for generation of contextual feature cubes using ...
Maryam Imani
doaj
Composite Kernel Method for PolSAR Image Classification Based on Polarimetric-Spatial Information
Applied Sciences, 2017 The composite kernel feature fusion proposed in this paper attempts to solve the problem of classifying polarimetric synthetic aperture radar (PolSAR) images. Here, PolSAR images take into account both polarimetric and spatial information.
Xianyuan Wang +3 more
doaj +1 more source
Study and comparison of major decomposition algorithms for polarimetric radar image processing
, 2022 Synthetic-aperture radar (SAR) is method widely deployed to recreate accurate high-resolution reconstructions of the earth’s surface. Polarimetric synthetic aperture radar (PolSAR) in particular, is a method that recreates images of the terrain via ...
Goh, Jerome Siak Boon
core
Long-wavelength Pol-InSAR for glacier ice extinction estimation [PDF]
, 2010 In recent years there has been increased interest in using synthetic aperture radar (SAR) to study and monitor glaciers for climate change research.
Papathanassiou, Kostas +4 more
core +1 more source
Remote Sensing, 2016 Built-up area extraction from polarimetric SAR (PolSAR) imagery has a close relationship with urban planning, disaster management, etc. Since the buildings have complex geometries and may be misclassified as forests due to the significant cross-polarized
Deliang Xiang +4 more
doaj +1 more source
The Use of Non Local Filters in Polsar Applications
, 2019 In this study, the capability of polarimetric Non Local Filters (NLFs) for speckle reduction in POLarimetric Synthetic Aperture Radar (POLSAR) measurements is investigated.
Buono A. +5 more
core +1 more source
A study on extraction of urban areas from polarimetric Synthetic Aperture Radar image [PDF]
This paper discusses the polarimetric correlation coefficient to extract the urban areas from polarimetric Synthetic Aperture Radar (POLSAR) image. For classification of POLSAR image, several methods have been proposed to extract polarimetric feature ...
Nakamura, K. +15 more
core +1 more source