Object-oriented feature selection of high spatial resolution images using an improved Relief algorithm-Reference-Cited by-同舟云学术

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Object-oriented feature selection of high spatial resolution images using an improved Relief algorithm

Published:2013-08 Issue:3-4 Volume:58 Page:619-626
ISSN:0895-7177
Container-title:Mathematical and Computer Modelling
language:en
Short-container-title:Mathematical and Computer Modelling

Author:

Jia Jianhua,Yang Ning,Zhang Chao,Yue Anzhi,Yang Jianyu,Zhu Dehai

Funder

Pre-Development of the High Resolution Application Demonstration System on Land Resource

China Agricultural University Young Teacher Innovative Projects

Publisher

Elsevier BV

Subject

Computer Science Applications,Modeling and Simulation

Reference19 articles.

1. The use of temporal metrics for land cover change detection at coarse spatial scales;Borak;International Journal of Remote Sensing,2000

2. Unsupervised classification of hyperspectral data: an ICA mixture model based approach;Chintan;International Journal of Remote Sensing,2004

3. Evaluation of the runoff potential in high relief semi-arid regions using remote sensing data: application to Bolivia;Ouattara;International Journal of Remote Sensing,2004

4. Ikonos imagery for resource management: tree cover, impervious surfaces and riparian buffer analyses in the mid-Atlantic region;Goetz;Remote Sensing of Environment,2003

5. Classification Methods for Remotely Sensed Data;Tso,2001

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