Title :
A spectral feature design system for the HIRIS/MODIS era
Author :
Chen, Chih-chien Thomas ; Landgrebe, David A.
Author_Institution :
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
fDate :
11/1/1989 12:00:00 AM
Abstract :
A spectral feature design system for high-dimensional multispectral data is described. This system utilizes hard-limited or infinitely clipped optimal transforms and canonical analysis to extract the spectral features for data volume reduction and classification purposes. The design procedure is intended to be application-specific in order to make it maximally effective for each use. Although it could be used in a variety of circumstances, the procedure was designed with satellite data collection in mind, such as will be needed with the High-Resolution Imaging Spectrometer (HIRIS), a land-oriented Earth observational sensor intended for launch in the mid-1990s. The tests reported provide substantial data volume reduction in the satellite-to-Earth downlink and subsequent computation phases, while maintaining satisfactory classification accuracy.
Keywords :
computerised picture processing; data compression; remote sensing; satellite links; telecommunications computing; telemetering; Earth observational sensor; HIRIS; High-Resolution Imaging Spectrometer; MODIS; Moderate Resolution Imaging Spectrometer; canonical analysis; classification; data compression; data volume reduction; high-dimensional multispectral data; optimal transforms; remote sensing data; satellite data collection; satellite link; satellite-to-Earth downlink; spectral feature design system; telemetry; Data mining; Downlink; Earth; Feature extraction; High-resolution imaging; Image sensors; MODIS; Satellites; Spectroscopy; Testing;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on