Spatial segmentation of multi/hyperspectral imagery by fusion of spectral-gradient-textural attributes-Reference-Cited by-同舟云学术

Spatial segmentation of multi/hyperspectral imagery by fusion of spectral-gradient-textural attributes

Published:2015-03-31 Issue:1 Volume:9 Page:095086
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Vantaram Sreenath Rao¹,Piramanayagam Sankaranarayanan¹,Saber Eli²,Messinger David¹

Affiliation:

1. Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester, New York 14623, United States

2. Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester, New York 14623, United StatesbRochester Institute of Technology, Department of Electrical and Microelectronic Engineering, 54 Lomb Memoria

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

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