Orchard spatial information extraction from SPOT-5 image based on CART model

Deyi Li; Shuwen Zhang

doi:10.1117/12.836719

10 July 2009 Orchard spatial information extraction from SPOT-5 image based on CART model

Deyi Li, Shuwen Zhang

Proceedings Volume 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering; 74890B (2009) https://doi.org/10.1117/12.836719
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China

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.

Citation Download Citation

Deyi Li and Shuwen Zhang "Orchard spatial information extraction from SPOT-5 image based on CART model", Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890B (10 July 2009); https://doi.org/10.1117/12.836719

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