Forest-Cover–Type Separation Using RADARSAT-1 Synthetic Aperture Radar Imagery
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چکیده
—RADARSAT-1 synthetic aperture radar data, speckle reduction, and texture measures provided for separation among forest types within the Twin Cities metropolitan area, MN, USA. The highest transformed divergence values for 16-bit data resulted from speckle filtering while the highest values for 8-bit data resulted from the orthorectified image, before and after performing a histogram stretch. First-order texture derivatives of 8-bit data provided only modest separability, while secondorder texture derivatives of 8-bit data provided little, if any, separability. RADARSAT-1 imagery may provide for image separation among forest types provided that preexisting forest/nonforest land cover classifications are incorporated.
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تاریخ انتشار 2009