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- W2729174421 abstract "In hyperspectral images, for detection of vegetation, vegetation index algorithms has been developed by using reflectance / radiance data in the VNIR (Visible Near Infrared) band. In this aspect, green regions in the image can be detected. In this study, a new vegetation index algorithm is developed for SWIR (Short Wave Infrared) hyperspectral images for the purpose of vegetation detection. The effectiveness and accuracy of the proposed method is tested on hyperspectral data which was taken from different places on different dates of the year. Test results show that vegetation regions in hyperspectral images can be detected successfully." @default.
- W2729174421 created "2017-07-14" @default.
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- W2729174421 date "2017-05-01" @default.
- W2729174421 modified "2023-09-26" @default.
- W2729174421 title "Calculation of vegetation index for short wave infrared hyperspectral images" @default.
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- W2729174421 doi "https://doi.org/10.1109/siu.2017.7960596" @default.
- W2729174421 hasPublicationYear "2017" @default.
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