Feature selection methodologies using simulated Thematic Mapper dataThe present investigation is concerned with the determination of the intrinsic dimensionality of a simulated Thematic Mapper data set. In addition, the effectiveness and sensitivity of 'standard' statistics separability measures (i.e., transformed divergence) is evaluated in comparison to eigenvectors for identifying the optimum subset of the original Thematic Mapper Simulator (TMS) bands for classifying the various cover types. TMS data were collected on May 2, 1979 by NASA's NS001 aircraft multispectral scanner over a bottomland forested area in South Carolina near the city of Camden. It is found that the eigenvectors and eigenvalues of a covariance matrix from a multispectral scanner system (MSS) data set can be obtained without having to actually transform the data.
Document ID
19840030258
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Dean, M. E. (Purdue Univ. West Lafayette, IN, United States)
Hoffer, R. M. (Purdue University West Lafayette, IN, United States)