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Proceedings Paper

The development of the geographic image cognition approach on studying land degradation
Author(s): Jing Wang; Yongqi Chen; Aixia Liu; Ting He; Chunyan Lv
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Paper Abstract

For the extraction of land degradation information we should use not only information on climate, soil, vegetation, physiognomy, land use and its productivities, but also the knowledge and methodologies of geosciences. It is of importance to study some conceptual issues about geographic image cognition (GEOIC) on studying land degradation. The study is to discuss some conceptual issues and the theoretical background of the approach of geographic image cognition (GEOIC) on studying land degradation for building its methodological framework. Some issues concerning the approach of GEOIC on studying land degradation, especially the factors of impacting human's visual cognition, were discussed. The results indicated that the GEOIC is the objectification cognition on remote sensing images and multi-source information using geo-knowledge. As an integrated approach, it is the extension of the methodology of OBIA. The key objective of the GEOIC on studying land degradation is to simulate the function and process of the visual interpretation by experts, and extract spatial features, spatial object and spatial pattern of land degradation under the cognition mode of feature-object-pattern from remote sensing images and multi-source information. The methodology of the GEOIC is realized through the segmentation of geo-objects or meaningful image objects using remote sensing information, geographic information, vegetation, soil, and other ancillary information with geosciences knowledge and intelligence.

Paper Details

Date Published: 20 April 2010
PDF: 6 pages
Proc. SPIE 7676, Sensing for Agriculture and Food Quality and Safety II, 76760U (20 April 2010); doi: 10.1117/12.849780
Show Author Affiliations
Jing Wang, China Land Surveying and Planning Institute (China)
The Hong Kong Polytechnic Univ. (Hong Kong, China)
Yongqi Chen, The Hong Kong Polytechnic Univ. (Hong Kong, China)
Aixia Liu, China Land Surveying and Planning Institute (China)
Ting He, China Land Surveying and Planning Institute (China)
Chunyan Lv, China Land Surveying and Planning Institute (China)


Published in SPIE Proceedings Vol. 7676:
Sensing for Agriculture and Food Quality and Safety II
Moon S. Kim; Shu-I Tu; Kaunglin Chao, Editor(s)

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