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Use of Self Organized Maps for Feature Extraction of Hyperspectral Data
In this paper, the problem of analyzing hyperspectral data is presented. The complexity of multi-dimensional data leads to the need for computer assisted data compression and labeling of important features. A brief overview ...
Fusion of Spectral Reflectance and Derivative Information for Robust Hyperspectral Land Cover Classification
Developments in sensor technology have made high resolution hyperspectral remote sensing data available to the remote sensing analyst for ground cover classification and target recognition tasks. Further, with limited ...
The Design and Implementation of an Image Segmentation System for Forest Image Analysis
The United States Forest Service (USFS) is developing software systems to evaluate forest resources with respect to qualities such as scenic beauty and vegetation structure. Such evaluations usually involve a large amount ...