Results 101 to 110 of about 2,377 (186)

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, Dong Peng, Xiangli Yang, Pingping Huang, Wen Yang   +4 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, del Valle, Hector Francisco, Hardtke, Leonardo Andrés, Sione, Walter Fabian   +3 more
core   +1 more source

PolSAR-Decomposition-Based Extended Water Cloud Modeling for Forest Aboveground Biomass Estimation

Remote Sensing, 2019
Polarimetric synthetic aperture radar (PolSAR) remote sensing has been widely used for forest mapping and monitoring. PolSAR data has the capability to provide scattering information that is contributed by different scatterers within a single SAR ...
Shashi Kumar, Rahul D. Garg, Himanshu Govil, Satya P. S. Kushwaha   +3 more
doaj   +1 more source

High-resolution fully-polarimetric synthetic aperture radar dataset

Discover Geoscience
Objectives Fully-polarimetric synthetic aperture radar (PolSAR) data contain a rich body of elementary scattering physics information that is critically valuable for a broad range of applications and scientific purposes.
R. Derek West, Amelia Henriksen, Eric Steinbach, Mohamed S. Ebeida   +3 more
doaj   +1 more source

Statistical Classification for Heterogeneous Polarimetric SAR Images

, 2011
International audienceThis paper presents a general approach for high-resolution polarimetric SAR data classification in heterogeneous clutter, based on a statistical test of equality of covariance matrices. The Spherically Invariant Random Vector (SIRV)
Ferro-Famil, Laurent, Formont, Pierre, Ovarlez, Jean-Philippe, Pascal, Frédéric, Vasile, Gabriel   +4 more
core   +3 more sources

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

Segmentation and Classification of Polarimetric SAR Data based on the KummerU Distribution [PDF]

, 2009
International audienceThinner spatial features can be observed from the high resolution of newly available spaceborne and airborne SAR images. Heterogeneous clutter models should be used to model the covariance matrix because each resolution cell ...
Bombrun, Lionel, Fallourd, Renaud, Gay, Michel, Harant, Olivier, Trouvé, Emmanuel, Tupin, Florence   +5 more
core   +3 more sources

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

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

AIR-POLSAR-CR1.0: A Benchmark Dataset for Cloud Removal in High-Resolution Optical Remote Sensing Images with Fully Polarized SAR

Remote Sensing
Due to the all-time and all-weather characteristics of synthetic aperture radar (SAR) data, they have become an important input for optical image restoration, and various cloud removal datasets based on SAR-optical have been proposed.
Yuxi Wang, Wenjuan Zhang, Jie Pan, Wen Jiang, Fangyan Yuan, Bo Zhang, Xijuan Yue, Bing Zhang   +7 more
doaj   +1 more source