Paper
30 March 2004 Ground-based imaging system for soil surface roughness measurement
Zhiling Long, Ping-Rey Jang, Jiann-Cherng Su, Yun Sun, J. Alex Thomasson, S.D. Filip To
Author Affiliations +
Proceedings Volume 5271, Monitoring Food Safety, Agriculture, and Plant Health; (2004) https://doi.org/10.1117/12.515564
Event: Optical Technologies for Industrial, Environmental, and Biological Sensing, 2003, Providence, RI, United States
Abstract
Surface roughness is an important physical property of soil in agricultural applications. It is a key parameter affecting the optical reflectance of bare soils, which can be computed from imagery acquired with airborne or space-based remotesensing devices. Accurate ground-truth roughness data need to be collected before a correct computational interpretation can be made. This paper presents the development of a real-time, geo-referenced, ground-based imaging system that produces quantitative ground truth information of soil surface roughness. The system applies Fourier transform profilometry (FTP) to an image of a soil area under study to obtain relative height data of the surface. Then it computes parameters such as root mean square (RMS) and correlation length as measures of roughness. Measurement experiments have been carried out successfully both under simulated conditions in the laboratory and in the field. The results show that the system is capable of generating reliable ground-truth soil surface roughness information. In comparison with other approaches, this developed system is fast, efficient and inexpensive.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhiling Long, Ping-Rey Jang, Jiann-Cherng Su, Yun Sun, J. Alex Thomasson, and S.D. Filip To "Ground-based imaging system for soil surface roughness measurement", Proc. SPIE 5271, Monitoring Food Safety, Agriculture, and Plant Health, (30 March 2004); https://doi.org/10.1117/12.515564
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KEYWORDS
Surface roughness

Imaging systems

Soil science

Fourier transforms

Agriculture

3D metrology

Cameras

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