Automatic measurement of crops canopy height based on monocular vision

Zhenghong Yu; Zhiguo Cao; Xiaodong Bai

doi:10.1117/12.901835

23 November 2011 Automatic measurement of crops canopy height based on monocular vision

Zhenghong Yu, Zhiguo Cao, Xiaodong Bai

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 800621 (2011) https://doi.org/10.1117/12.901835
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

Computer vision technology has been increasingly used for automatically observing crop growth state, but as one of the key parameters in the field of agro-meteorological observation, crop canopy height is still measured manually in the actual observation process up to now. In order to automatically measure the height based on the forward-and-downward-looking image in the existing monocular vision observation system, a novel method is proposed, that is, to measure the canopy height indirectly by the solving algorithm for the actual height of the vertical objects (SAAH) with the help of the intelligent sensor device. The experiment results verified the feasibility and validity of our method, and that the method could meet the actual observation demand.

Citation Download Citation

Zhenghong Yu, Zhiguo Cao, and Xiaodong Bai "Automatic measurement of crops canopy height based on monocular vision", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 800621 (23 November 2011); https://doi.org/10.1117/12.901835

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