Using Quad‐Pol and Single‐Pol RADARSAT‐2 Data for Monitoring Cold Alpine and Outlet Antarctic Glaciers [PDF]
, 2011 International audienceThis paper presents some applications of the Maximum Likelihood (ML) texture tracking on displacement estimation of some alpine and antarctic glaciers surfaces.
Bombrun, Lionel +6 more
core +1 more source
POLARIMETRIC SIGNATURES IDENTIFICATION FOR DIFFERENT FEATURES IN RADARSAT-2 POLSAR IMAGE: A CASE STUDY OF HALAYIB AREA, EGYPT [PDF]
, 2016 Ayman H. Nasr, Hind Z. Abdelhamid
openalex +1 more source
Fuzzy Superpixels Based Semi-Supervised Similarity-Constrained CNN for PolSAR Image Classification [PDF]
, 2020 Yuwei Guo +5 more
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Adaptive scale segmentation algorithm for polarimetric SAR image
The Journal of Engineering, 2019 Polarimetric SAR (PolSAR) data can be characterised by scattering matrix, which contains four elements. It is difficult to merge all the elements of the scattering matrix for segmentation.
Yifan Xu, Aifang Liu, Long Huang
doaj +1 more source
A Broad Class of Discrete-Time Hypercomplex-Valued Hopfield Neural Networks
, 2019 In this paper, we address the stability of a broad class of discrete-time hypercomplex-valued Hopfield-type neural networks. To ensure the neural networks belonging to this class always settle down at a stationary state, we introduce novel hypercomplex ...
de Castro, Fidelis Zanetti +1 more
core +1 more source
A METHOD OF TIME-SERIES CHANGE DETECTION USING FULL POLSAR IMAGES FROM DIFFERENT SENSORS [PDF]
, 2018 Wenxuan Liu +4 more
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Multiobjective Evolutionary Superpixel Segmentation for PolSAR Image Classification
Remote SensingSuperpixel segmentation has been widely used in the field of computer vision. The generations of PolSAR superpixels have also been widely studied for their feasibility and high efficiency.
Boce Chu +7 more
doaj +1 more source
Independent component analysis within polarimetric incoherent target decomposition
, 2013 International audienceThis paper represents a part of our efforts to generalize polarimetric incoherent target decomposition to the level of BSS techniques by introducing the ICA method instead of the conventional eigenvector decomposition.
Besic, Nikola +5 more
core +2 more sources
, 2017 This project will implement a segmentation algorithm for PolSAR images to represent the boundaries of the areas in the image and the regions. Identifying the regions on SAR images can be useful for further analysis, for example, to classify the elements of the image.
openaire +1 more source
PolSF: PolSAR image dataset on San Francisco
, 2019 Polarimetric SAR data has the characteristics of all-weather, all-time and so on, which is widely used in many fields. However, the data of annotation is relatively small, which is not conducive to our research. In this paper, we have collected five open polarimetric SAR images, which are images of the San Francisco area.
Liu, Xu, Jiao, Licheng, Liu, Fang
openaire +2 more sources