K-means algorithm based on stochastic distances for polarimetric synthetic aperture radar image classification-Reference-Cited by-同舟云学术

K-means algorithm based on stochastic distances for polarimetric synthetic aperture radar image classification

Published:2016-10-14 Issue:4 Volume:10 Page:045005
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Negri Rogério Galante¹,da Silva Wagner Barreto²,Mendes Tatiana Sussel Gonçalves¹

Affiliation:

1. Universidade Estadual Paulista, Instituto de Ciência e Tecnologia, Departamento de Engenharia Ambiental, Rodovia Presidente Dutra, Km 137.8, Eugenio de Melo—12247-004, São José dos Campos, SP, Brazil

2. Instituto Militar de Engenharia, Seção de Engenharia Cartográfica, Praça General Tibúrcio, 80, Praia Vermelha, Rio de Janeiro 22290-270, RJ, Brazil

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference27 articles.

1. An entropy based classification scheme for land applications of polarimetric SAR

2. Classifying Multifrequency Fully Polarimetric Imagery With Multiple Sources of Statistical Evidence and Contextual Information

3. Segmentation and Classification of Polarimetric SAR Data Using Spectral Graph Partitioning

4. Polarimetric SAR image classification by Boosted Multiple-Kernel Extreme Learning Machines with polarimetric and spatial features

5. Classification of dual- and single polarized SAR images by incorporating visual features

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