Results 131 to 140 of about 5,464 (214)

Land Use and Land Cover Classification Meets Deep Learning: A Review. [PDF]

Sensors (Basel), 2023
Zhao S, Tu K, Ye S, Tang H, Hu Y, Xie C.
europepmc   +1 more source

KummerU clutter model for PolSAR data: Application to segmentation and classification

, 2010
International audienceIn this paper, Spherically Invariant Random Vectors (SIRV) are introduced to describe the heterogeneity of the Polarimetric Synthetic Aperture Radar (PolSAR) clutter.
Bombrun, Lionel, Gay, Michel, Ovarlez, Jean-Philippe, Pascal, Frédéric, Vasile, Gabriel   +4 more
core   +1 more source

Semantic segmentation of PolSAR image data using advanced deep learning model. [PDF]

Sci Rep, 2021
Garg R, Kumar A, Bansal N, Prateek M, Kumar S.   +4 more
europepmc   +1 more source

Dryland Crop Classification Combining Multitype Features and Multitemporal Quad-Polarimetric RADARSAT-2 Imagery in Hebei Plain, China. [PDF]

Sensors (Basel), 2021
Wang D, Liu CA, Zeng Y, Tian T, Sun Z.
europepmc   +1 more source

Blind Source Separation in Polarimetric SAR Interferometry

, 2016
International audiencePolarimetric incoherent target decomposition aims in access-ing physical parameters of illuminated scatters through the analysis of target coherence or covariance matrix.
Pralon, Leandro, Vasile, Gabriel
core   +1 more source

Active Learning for PolSAR image classification

, 2013
One of the biggest problems, when supervised learning techniques are used, for training classifier, is the necessity of a big amount of labelled samples, including the problems and costs of carry out the labelling of the prototypes needed. SAR images are difficult to label due to the speckle noise, which increases the normal effort needed for labelling
openaire   +2 more sources

Superpixel-based graph convolutional neural network for polarimetric synthetic aperture radar image classification. [PDF]

Sci Rep
Imani M.
europepmc   +1 more source

PolSAR image classification using shallow to deep feature fusion network with complex valued attention. [PDF]

Sci Rep
Alkhatib MQ, Zitouni MS, Al-Saad M, Aburaed N, Al-Ahmad H.   +4 more
europepmc   +1 more source

Building Image Feature Extraction Using Data Mining Technology. [PDF]

Comput Intell Neurosci, 2022
Deng Y, Xing C, Cai L.
europepmc   +1 more source

MSMTRIU-Net: Deep Learning-Based Method for Identifying Rice Cultivation Areas Using Multi-Source and Multi-Temporal Remote Sensing Images. [PDF]

Sensors (Basel)
Wang M, Ma X, Zheng T, Su Z.
europepmc   +1 more source