POLARIMETRIC SIGNATURES IDENTIFICATION FOR DIFFERENT FEATURES IN RADARSAT-2 POLSAR IMAGE: A CASE STUDY OF HALAYIB AREA, EGYPT [PDF]
Ayman H. Nasr, Hind Z. Abdelhamid
openalex +1 more source
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
Fast Line Segment Detection and Large Scene Airport Detection for PolSAR [PDF]
Daochang Wang, Qi Liu, Qiang Yin, Fei Ma
openalex +1 more source
Machine learning classification based on k-Nearest Neighbors for PolSAR data
In this work, we focus on obtaining insights of the performances of some well-known machine learning image classification techniques (k-NN, Support Vector Machine, randomized decision tree and one based on stochastic distances) for PolSAR (Polarimetric ...
JODAVID A. FERREIRA +3 more
doaj +1 more source
Marine Oil Spill Detection from SAR Images Based on Attention U-Net Model Using Polarimetric and Wind Speed Information. [PDF]
Chen Y, Wang Z.
europepmc +1 more source
Informatització de Negociacions, Contractes i Ofertes per al Departament de Compres [PDF]
Aplicació informàtica per arxivar i consultar d'una manera ràpida i àgil les negociacions, ofertes, contractes i tot tipus de documentació i anotacions relacionades amb els proveïdors.
Martínez López, Dolores +3 more
core
Self-Trained Deep Forest with Limited Samples for Urban Impervious Surface Area Extraction in Arid Area Using Multispectral and PolSAR Imageries. [PDF]
Liu X +4 more
europepmc +1 more source
Two-step discriminant analysis based multi-view polarimetric SAR image classification with high confidence. [PDF]
Imani M.
europepmc +1 more source
Ionospheric Specifications for SAR Interferometry (ISSI) [PDF]
The ISSI software package is designed to image the ionosphere from space by calibrating and processing polarimetric synthetic aperture radar (PolSAR) data collected from low Earth orbit satellites. Signals transmitted and received by a PolSAR are subject
Buckley, Sean M. +6 more
core +1 more source
Large Dimensional Analysis of LS-SVM Transfer Learning: Application to Polsar Classification
Cyprien Doz +3 more
openalex +2 more sources

