Add to ORKGMethod is combination of digital and optical techniques. Multispectral data is coded into binary mat...
Research in multispectral data processing at LARS/Purdue is directed at supporting a substantial lev...
The author has identified the following significant results. Two examples of haze correction algorit...
The importance of specific spectral regions to signature extension is explored. In the recent past, ...
This paper presents a procedure for determining the number of signatures to use in classifying multi...
The development of techniques to extend spectral signatures in space and time is reported. Signature...
Adaptive data processing procedures are applied to the problem of classifying objects in a scene sca...
Spectral signature databases abound in the field of remote sensing. Scientists use these databases t...
A two-step classification algorithm for processing multispectral scanner data was developed and test...
The LANDSAT Signature Development Program, LSDP, is designed to produce an unsupervised classificati...
The applicability of recognition-processing procedures for multispectral scanner data from areas and...
The algorithms employed in the current ERIM data processing scheme are described. Methods for suitab...
The spectral analysis program (SAP) flow diagrams, and listings are presented. The plot generation p...
A two-step classification algorithm for processing multispectral scanner data has been developed and...
Two major aspects of remote sensing with multispectral scanners (MSS) are investigated. The first, m...
Method is combination of digital and optical techniques. Multispectral data is coded into binary mat...
Research in multispectral data processing at LARS/Purdue is directed at supporting a substantial lev...
The author has identified the following significant results. Two examples of haze correction algorit...
The importance of specific spectral regions to signature extension is explored. In the recent past, ...
This paper presents a procedure for determining the number of signatures to use in classifying multi...
The development of techniques to extend spectral signatures in space and time is reported. Signature...
Adaptive data processing procedures are applied to the problem of classifying objects in a scene sca...
Spectral signature databases abound in the field of remote sensing. Scientists use these databases t...
A two-step classification algorithm for processing multispectral scanner data was developed and test...
The LANDSAT Signature Development Program, LSDP, is designed to produce an unsupervised classificati...
The applicability of recognition-processing procedures for multispectral scanner data from areas and...
The algorithms employed in the current ERIM data processing scheme are described. Methods for suitab...
The spectral analysis program (SAP) flow diagrams, and listings are presented. The plot generation p...
A two-step classification algorithm for processing multispectral scanner data has been developed and...
Two major aspects of remote sensing with multispectral scanners (MSS) are investigated. The first, m...
Method is combination of digital and optical techniques. Multispectral data is coded into binary mat...
Research in multispectral data processing at LARS/Purdue is directed at supporting a substantial lev...
The author has identified the following significant results. Two examples of haze correction algorit...