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Proceedings Paper

Orchard spatial information extraction from SPOT-5 image based on CART model
Author(s): Deyi Li; Shuwen Zhang
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Paper Abstract

Orchard is an important agricultural industry and typical land use type in Shandong peninsula of China. This article focused on the automatic information extraction of orchard using SPOT-5 image. After analyzing every object's spectrum, we proposed a CART model based on sub-region and hierarchy theory by exploring spectrum, texture and topography attributes. The whole area was divided into coastal plain region and hill region based on SRTM data and extracted respectively. The accuracy reached to 86.40%, which was much higher than supervised classification method.

Paper Details

Date Published: 10 July 2009
PDF: 7 pages
Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890B (10 July 2009); doi: 10.1117/12.836719
Show Author Affiliations
Deyi Li, Northeast Institute of Geography and Agricultural Ecology (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
Shuwen Zhang, Northeast Institute of Geography and Agricultural Ecology (China)


Published in SPIE Proceedings Vol. 7489:
PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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