Results 101 to 110 of about 3,144 (202)

PolSAR mosaic normalization for improved land-cover mapping

, 2012
This letter describes an algorithm development for the production of a large-scale fully polarimetric synthetic aperture radar (SAR) (PolSAR) mosaic using multitemporal Advanced Land Observing Satellite Phased Array type L-band SAR acquisitions.
Antropov, Oleg; id_orcid, Lönnqvist, Anne, Häme, Tuomas, Rauste, Yrjö   +3 more
core   +1 more source

Polarimetric ALOS PALSAR Time Series in Mapping Biomass of Boreal Forests

Remote Sensing, 2017
Here, we examined multitemporal behavior of fully polarimetric SAR (PolSAR) parameters at L-band in relation to the stem volume of boreal forests.
Oleg Antropov, Yrjö Rauste, Tuomas Häme, Jaan Praks   +3 more
doaj   +1 more source

PolSAR image classification based on Laplacian Eigenmaps and superpixels

, 2017
This paper proposes a method of polarimetric synthetic aperture radar (PolSAR) image classification using improved superpixel segmentation and manifold learning.
Jinghong Han, Yangyang Deng, Haijiang Wang   +2 more
core   +1 more source

Structure Label Matrix Completion for PolSAR Image Classification

, 2020
Terrain classification is a hot topic in polarimetric synthetic aperture radar (PolSAR) image interpretation that aims at assigning a label to every pixel and forms a label matrix for a PolSAR image.
Bo Ren, Qian Wu, Zhongle Ren, Licheng Jiao, Zaidao Wen, Biao Hou   +5 more
core   +1 more source

Unsupervised Cross-Domain Polarimetric Synthetic Aperture Radar (PolSAR) Change Monitoring Based on Limited-Label Transfer Learning and Vision Transformer

Remote Sensing
Limited labels and detailed changed land-cover interpretation requirements pose challenges for time-series PolSAR change monitoring research. Accurate labels and supervised models are difficult to reuse between massive unlabeled time-series PolSAR data ...
Xinyue Zhang, Rong Gui, Jun Hu, Jinghui Zhang, Lihuan Tan, Xixi Zhang   +5 more
doaj   +1 more source

Semi-Supervised Classification of PolSAR Images Based on Co-Training of CNN and SVM with Limited Labeled Samples. [PDF]

Sensors (Basel), 2023
Zhao M, Cheng Y, Qin X, Yu W, Wang P.
europepmc   +1 more source

A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification. [PDF]

Sensors (Basel), 2023
Sadeghi F, Larijani A, Rostami O, Martín D, Hajirahimi P.   +4 more
europepmc   +1 more source

Marine Oil Spill Detection from SAR Images Based on Attention U-Net Model Using Polarimetric and Wind Speed Information. [PDF]

Int J Environ Res Public Health, 2022
Chen Y, Wang Z.
europepmc   +1 more source

Machine learning classification based on k-Nearest Neighbors for PolSAR data

Anais da Academia Brasileira de Ciências
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, ANNY K.G. RODRIGUES, RAYDONAL OSPINA, LUIS GOMEZ   +3 more
doaj   +1 more source

Self-Trained Deep Forest with Limited Samples for Urban Impervious Surface Area Extraction in Arid Area Using Multispectral and PolSAR Imageries. [PDF]

Sensors (Basel), 2022
Liu X, Samat A, Li E, Wang W, Abuduwaili J.   +4 more
europepmc   +1 more source