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1 results about "Enhanced vegetation index" patented technology
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The enhanced vegetation index (EVI) is an 'optimized' vegetation index designed to enhance the vegetation signal with improved sensitivity in high biomass regions and improved vegetation monitoring through a de-coupling of the canopy background signal and a reduction in atmosphere influences. EVI is computed following this equation: EVI=G×(NIR-RED)/(NIR+C1×RED-C2×Blue+L) where NIR/red/blue are atmospherically-corrected or partially atmosphere corrected (Rayleigh and ozone absorption) surface reflectances, L is the canopy background adjustment that addresses non-linear, differential NIR and red radiant transfer through a canopy, and C1, C2 are the coefficients of the aerosol resistance term, which uses the blue band to correct for aerosol influences in the red band.
Agricultural protection unmanned aerial vehicle operation boundary identification method and system
This application provides a method and system for identifying the operational boundary of an agricultural drone. When the index difference value between vegetated and non-vegetated areas in farmland is lower than the hard scenario threshold of the agricultural drone, vegetation endmember spectra and soil endmember spectra are extracted from the multispectral image. Based on the vegetation and soil endmember spectra, spectral mixing decomposition is performed on each pixel in the multispectral image to obtain the vegetation endmember abundance of each pixel. A vegetation abundance map is constructed based on all vegetation endmember abundance values. The original vegetation index map is enhanced using the vegetation abundance map to obtain an enhanced vegetation index map. The enhanced vegetation index map is input into a pre-trained semantic segmentation network model, which outputs a binarized operational area mask. The contour of the operational area mask is used as the boundary coordinates of the operational area. Based on the above scheme, spectral identification of crop boundaries in low-contrast farmland scenes can be achieved.
Owner:重庆市潼南区农业科技推广中心