Results 111 to 120 of about 3,144 (202)

Classificació d'imatge PolSAR amb Binary Partition Tree

, 2017
The objective of this project is to study new techniques in the use of Binary Partition Tree to improve the classification of objects in PolSAR images.
Cuadrado Conde, Cristian
core  

Two-step discriminant analysis based multi-view polarimetric SAR image classification with high confidence. [PDF]

Sci Rep, 2022
Imani M.
europepmc   +1 more source

Perceptually Optimal Color Representation of Fully Polarimetric SAR Imagery. [PDF]

J Imaging, 2022
Koukiou G.
europepmc   +1 more source

Polarimetric SAR Speckle Filtering Using a Nonlocal Weighted LMMSE Filter. [PDF]

Sensors (Basel), 2021
Shen Y, Ma X, Zhu S, Xu J.
europepmc   +1 more source

Segmentation of polsar images

, 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

Multiple Classifiers Based Semi-Supervised Polarimetric SAR Image Classification Method. [PDF]

Sensors (Basel), 2021
Zhu L, Ma X, Wu P, Xu J.
europepmc   +1 more source

Survey of Transverse Range Fire Scars in 10 Years of UAVSAR Polarimetry. [PDF]

Earth Space Sci, 2021
Parker J, Donnellan A, Glasscoe M.
europepmc   +1 more source

Cloud Removal With PolSAR-Optical Data Fusion Using A Two-Flow Residual Network [PDF]

Optical remote sensing images play a crucial role in the observation of the Earth\u27s surface. However, obtaining complete optical remote sensing images is challenging due to cloud cover.
Zhang, Bing, Zhang, Wenjuan, Wang, Yuxi
core   +2 more sources

3-D reconstruction of coastal bathymetry from AIRSAR/POLSAR data

, 2009
This paper introduces a new method for reconstructing three-dimensional (3D) coastal bathymetry changes from Airborne AIRSAR/POLSAR synthetic aperture data. The new method is based on integration between fuzzy B-spline and Volterra algorithm.
Marghany, Maged, Hashim, Mazlan, Cracknell, Arthur P.   +2 more
core   +1 more source

BSDSNet: Dual-Stream Feature Extraction Network Based on Segment Anything Model for Synthetic Aperture Radar Land Cover Classification

Remote Sensing
Land cover classification using high-resolution Polarimetric Synthetic Aperture Radar (PolSAR) images obtained from satellites is a challenging task. While deep learning algorithms have been extensively studied for PolSAR image land cover classification,
Yangyang Wang, Wengang Zhang, Weidong Chen, Chang Chen   +3 more
doaj   +1 more source