Results 101 to 110 of about 5,464 (214)
Classification for Polsar image based on hölder divergences
The Journal of Engineering, 2019 (Dis)similarity measures play an important role in the interpretation of polarimetric synthetic aperture radar (PolSAR) images. Here, the authors introduce a kind of similarity measures for PolSAR images based on the concepts of Hölder pseudo-divergence ...
Ting Pan +4 more
doaj +1 more source
SCHATTEN MATRIX NORM BASED POLARIMETRIC SAR DATA REGULARIZATION. APPLICATION OVER CHAMONIX MONT-BLANC [PDF]
, 2013 International audienceThe paper addresses the filtering of Polarimetry Synthetic Aperture Radar (PolSAR) images. The filtering strategy is based on a regularizing cost function associated with matrix norms called the Schatten p-norms.
Atto, Abdourrahmane +2 more
core +1 more source
Remote SensingPolSAR image classification has attracted extensive significant research in recent decades. Aiming at improving PolSAR classification performance with speckle noise, this paper proposes an active complex-valued convolutional-wavelet neural network by ...
Lu Liu, Yongxiang Li
doaj +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 +3 more
doaj +1 more source
Remote SensingLimited 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 +5 more
doaj +1 more source
Adversarial Reconstruction-Classification Networks for PolSAR Image Classification
Remote Sensing, 2019 Polarimetric synthetic aperture radar (PolSAR) image classification has become more and more widely used in recent years. It is well known that PolSAR image classification is a dense prediction problem. The recently proposed fully convolutional networks (
Yanqiao Chen +5 more
doaj +1 more source
Evaluación de la degradación de la tierra usando la entropía de shannon sobre imágenes polarimétricas en desiertos costeros Patagónicos [PDF]
, 2013 En esta investigación se focalizó en la Entropía de Shannon (ES) para la caracterización de imágenes polarimétricas de apertura sintética. Este parámetro analiza la contribución de la información por pixeles individuales para toda la imagen en la ...
Blanco, Paula Daniela +3 more
core +1 more source
PolSAR Mosaic Normalization for Improved Land-Cover Mapping
IEEE Geoscience and Remote Sensing Letters, 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. The PolSAR data were collected during the snow-melting season in 2007 over Finnish Lapland, resulting in ...
Rauste, Yrjö +4 more
openaire +3 more sources
Estimation of the normalized coherency matrix through the SIRV model. Application to high resolution POLSAR data [PDF]
, 2009 8 pagesInternational audienceIn the context of non-Gaussian polarimetric clutter models, this paper presents an application of the recent advances in the field of Spherically Invariant Random Vectors (SIRV) modelling for coherency matrix estimation in ...
Gay, Michel +3 more
core +2 more sources
Semi-supervised PolSAR Image Classification Based on the Neighborhood Minimum Spanning Tree
Leida xuebao, 2019 In this paper, a novel semi-supervised classification method based on the Neighborhood Minimum Spanning Tree (NMST) is proposed to solve the Polarimetric Synthetic Aperture Radar (PolSAR) terrain classification when labeled samples are few. Combining the
HUA Wenqiang +3 more
doaj +1 more source