Results 61 to 70 of about 621 (141)

Pearl Millet Crop Biophysical Parameter Retrieval From Space Borne Polarimetric SAR Data Using Machine Learning

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, Dipanwita Haldar, Shashi Kumar, Arun Balaji Ramathilagam, N. R. Patel   +4 more
wiley   +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, Huang Pingping, Tu Shangtan, Yang Xiangli   +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, Zongjie Cao, Yao Ding, Jilan Feng   +3 more
doaj   +1 more source

Built-up Area Extraction from PolSAR Imagery with Model-Based Decomposition and Polarimetric Coherence

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, Tao Tang, Canbin Hu, Qinghui Fan, Yi Su   +4 more
doaj   +1 more source

Characterization of Arctic Environment by Means of Polarimetric Synthetic Aperture Radar (PolSAR) Data and Digital Elevation Models (DEM)

, 2015
The ecosystem of the high northern latitudes is affected by the recently changing environmental conditions. The Arctic has undergone a significant climatic change over the last decades. The land coverage is changing and a phenological response to the warming is apparent. Remotely sensed data can assist the monitoring and quantification of these changes.
openaire   +2 more sources

PolSAR-Decomposition-Based Extended Water Cloud Modeling for Forest Aboveground Biomass Estimation

Remote Sensing, 2019
Polarimetric synthetic aperture radar (PolSAR) remote sensing has been widely used for forest mapping and monitoring. PolSAR data has the capability to provide scattering information that is contributed by different scatterers within a single SAR ...
Shashi Kumar, Rahul D. Garg, Himanshu Govil, Satya P. S. Kushwaha   +3 more
doaj   +1 more source

High-resolution fully-polarimetric synthetic aperture radar dataset

Discover Geoscience
Objectives Fully-polarimetric synthetic aperture radar (PolSAR) data contain a rich body of elementary scattering physics information that is critically valuable for a broad range of applications and scientific purposes.
R. Derek West, Amelia Henriksen, Eric Steinbach, Mohamed S. Ebeida   +3 more
doaj   +1 more source

Nearshore Ship Detection in PolSAR Images by Integrating Superpixel-Level GP-PNF and Refined Polarimetric Decomposition

Remote Sensing
Nearshore ship detection has significant applications in both the military and civilian domains. Compared to synthetic aperture radar (SAR), polarimetric synthetic aperture radar (PolSAR) provides richer information for analyzing the scattering ...
Shujie Wu, Wei Wang, Jie Deng, Sinong Quan, Feng Ruan, Pengcheng Guo, Hongqi Fan   +6 more
doaj   +1 more source

A Hierarchical Extension of General Four-Component Scattering Power Decomposition

Remote Sensing, 2017
The overestimation of volume scattering (OVS) is an intrinsic drawback in model-based polarimetric synthetic aperture radar (PolSAR) target decomposition.
Sinong Quan, Deliang Xiang, Boli Xiong, Canbin Hu, Gangyao Kuang   +4 more
doaj   +1 more source