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2 February 2012 Combining spatial and spectral information to improve crop/weed discrimination algorithms
L. Yan, G. Jones, S. Villette, J. N. Paoli, C. Gée
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Proceedings Volume 8300, Image Processing: Machine Vision Applications V; 83000E (2012) https://doi.org/10.1117/12.909861
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
Abstract
Reduction of herbicide spraying is an important key to environmentally and economically improve weed management. To achieve this, remote sensors such as imaging systems are commonly used to detect weed plants. We developed spatial algorithms that detect the crop rows to discriminate crop from weeds. These algorithms have been thoroughly tested and provide robust and accurate results without learning process but their detection is limited to inter-row areas. Crop/Weed discrimination using spectral information is able to detect intra-row weeds but generally needs a prior learning process. We propose a method based on spatial and spectral information to enhance the discrimination and overcome the limitations of both algorithms. The classification from the spatial algorithm is used to build the training set for the spectral discrimination method. With this approach we are able to improve the range of weed detection in the entire field (inter and intra-row). To test the efficiency of these algorithms, a relevant database of virtual images issued from SimAField model has been used and combined to LOPEX93 spectral database. The developed method based is evaluated and compared with the initial method in this paper and shows an important enhancement from 86% of weed detection to more than 95%.
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L. Yan, G. Jones, S. Villette, J. N. Paoli, and C. Gée "Combining spatial and spectral information to improve crop/weed discrimination algorithms", Proc. SPIE 8300, Image Processing: Machine Vision Applications V, 83000E (2 February 2012); https://doi.org/10.1117/12.909861
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KEYWORDS
Databases
Algorithm development
Data modeling
Detection and tracking algorithms
Cameras
Vegetation
Image processing
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