Remote Sensing: The Quantitative ApproachPhilip H. Swain, Shirley M. Davis The quantitative approach: concep and rationale. Radiation and instrumentation in remote sensing. Fundamentals of pattern recognition in remote sensing. Data processing methods and systems. Biological and physical considerations in applying computer-aided analysis techniques to remote sensor data. Applying the quantitative approach. Useful information from multispectral image data: another look. |
Contents
Radiation and Instrumentation in Remote Sensing | 21 |
1 | 56 |
16 | 88 |
Copyright | |
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algorithm analysis subsystem black body calibration classification cluster color cover types crop data analyst data-processing system decision decision boundaries density function detector dice discriminant functions discussed distance effective end-of-file energy estimates example feature extraction field of view Figure film format geometric infrared input subsystem instrument Landsat layer measurement space multispectral scanner multispectral scanner data normal optical output products output subsystem parameters pattern recognition portion preprocessing probability density function probability functions probability of error problem procedure processing produced Purdue University quantitative radiant exitance radiation record reference data region relatively remote sensing data remote sensing system satellite scan scene selection sensor shown in Fig signal Skylab snow soil soybeans spatial spectral bands spectral characteristics spectral classes spectral reflectance spectral response spectrum system designer tape temperature thermal training patterns training samples vegetation wavelength bands West Lafayette