Results 81 to 90 of about 3,590 (264)
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
Polarimetric Incoherent Target Decomposition by Means of Independent Component Analysis [PDF]
, 2015 International audienceThis paper presents an alternative approach for polarimetric incoherent target decomposition dedicated to the analysis of very-high resolution POLSAR images.
Besic, Nikola +3 more
core +3 more sources
Earth and Space Science, Volume 11, Issue 4, April 2024.Abstract Many communities coexist with wildfires that lead to loss of lives, property, and ecosystem services. Remote sensing tools can aid disaster response and post‐event assessment, offering fire agencies opportunities for additional surveillance with radar, an all‐weather instrument that can image day or night.
Karen An, Cathleen E. Jones, Yunling Lou
wiley +1 more source
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 +3 more
doaj +1 more source
Statistical assessment of eigenvector-based target decomposition theorems in radar polarimetry [PDF]
, 2005 © 2005 IEEE.Carlos López-Martínez, Eric Pottier and Shane R ...
Cloude, Shane Robert +2 more
core +2 more sources
Semiparametric constant false alarm rate method for radar and sonar images
Electronics Letters, Volume 60, Issue 5, March 2024.This study proposed a novel constant false alarm rate (CFAR) method based on Gaussian mixture model (GMM). The reason for starting this work is that some new polarimetric detectors and the high‐resolution cases may lead to the failure of traditional parametric model.
Ke Li, Peng Zhang, Ziyuan Yang
wiley +1 more source
Oil Detection in a Coastal Marsh with Polarimetric Synthetic Aperture Radar (SAR) [PDF]
, 2011 The National Aeronautics and Space Administration’s airborne Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) was deployed in June 2010 in response to the Deepwater Horizon oil spill in the Gulf of Mexico.
Amina Rangoonwala +10 more
core +2 more sources
IET Radar, Sonar &Navigation, Volume 18, Issue 3, Page 379-409, March 2024.The designed SSELF can automatically extract PolSAR features conducive to PolSAR image classification with a small number of training samples. Also, the designed deep learning model can obtain the effective features of homogeneous samples gathering together and heterogeneous samples separating from each other in a self‐supervised manner.
Mohsen Darvishnezhad, Mohammad Ali Sebt
wiley +1 more source
A 3-D Convolutional Vision Transformer for PolSAR Image Classification and Change Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe scattering properties of targets in polarimetric synthetic aperture radar (PolSAR) images are directly influenced by the targets' orientations, as the scattering properties from the same target with different orientations can be very different.
Lei Wang +5 more
doaj +1 more source
PolSAR images characterization through Blind Sources Separation techniques [PDF]
2010 IEEE International Geoscience and Remote Sensing Symposium, 2010 Since the backscattered signal in PolSAR images is intrinsically linked with the physical characteristics of the objects in the image, valuable information may be extracted therefrom. The paper focus is to propose a new physical characterization of the scattering target, inspired by the Blind Sources Separation techniques.
Felix Totir +3 more
openaire +1 more source