Independent Component Analysis of Airborne Hyperspectral Data for the Study of Weed and Nitrogen Stress in Corn Crops
نویسندگان
چکیده
Airborne hyperspectral remote sensing imagery is an efficient way to obtain an accurate spatial information at the scale of the field or group of fields because of its fine spatial resolution and its ability to acquire simultaneously a great number of spectral bands. This paper presents an unsupervised analysis tool enabling us to extract information from this type of data, the Independent Component Analysis. This tool particularly allows the influence of different treatments on a crop to be independently extracted.
منابع مشابه
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