Canopy-cover thematic-map generation for Military Map products using remote sensing data in inaccessible areas-Reference-Cited by-同舟云学术

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Canopy-cover thematic-map generation for Military Map products using remote sensing data in inaccessible areas

Published:2010-10-26 Issue:2 Volume:7 Page:263-274
ISSN:1860-1871
Container-title:Landscape and Ecological Engineering
language:en
Short-container-title:Landscape Ecol Eng

Author:

Chang Anjin,Eo Yangdam,Kim Sunwoong,Kim Yongmin,Kim Yongil

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Ecology

Link

http://link.springer.com/content/pdf/10.1007/s11355-010-0132-1.pdf

Reference51 articles.

1. Bharati MH, Liu JJ, MacGregor JF (2004) Image texture analysis: methods and comparisons. Chemom Intell Lab Syst 72:57–71

2. Butusov OB (2003) Textural classification of forest types from Landsat 7 imagery. GISci Remote Sens 40:91–104

3. Castillo C, Chollett I, Klein E (2008) Enhanced duckweed detection using bootstrapped SVM classification on medium resolution RGB MODIS imagery. Int J Remote Sens 29:5595–5604

4. Chen DM, Stow D (2003) Strategies for integrating Information from multiple spatial resolutions into land-use/land-cover classification routines. Photogramm Eng Remote Sens 69:1279–1287

5. Clause DA, Zhao Y (2003) Grey level co-occurrence integrated algorithm (GLCIA): a superior computational method to rapidly determine co-occurrence probability texture features. Comput Geosci 29(7):837–850

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