Detecting a Spectrally Variable Subject in Color Infrared Imagery Using Data - Mining and Knowledge - Engine Methods
نویسندگان
چکیده
To classify Egeria densa, Brazilian waterweed, in scan-digitized color infrared aerial photographs, we are developing automated methods based on data-mining and knowledge-engine techniques. In this paper, we present progress to date, compare the results of the two approaches, and discuss current problems and anticipated solutions.
منابع مشابه
Active learning for detecting a spectrally variable subject in color infrared imagery
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تاریخ انتشار 2005