Recent improvements in remote sensor technology carry implications for data processing. Multispectral line scanners now exist that can collect data simultaneously and in registration in multiple channels at both reflective and thermal (emissive) wavelengths. Progress in dealing with two resultant recognition processing problems is discussed: (1) More channels mean higher processing costs; to combat these costs, a new and faster procedure for selecting subsets of channels has been developed. (2) Differences between thermal and reflective characteristics influence recognition processing; to illustrate the magnitude of these differences, some explanatory calculations are presented. Also introduced, is a different way to process multispectral s...
Two parallel and overlapping approaches to classification of remotely sensed data with the aid of sp...
The development and characteristics of a multispectral band scanner for an airborne mapping system a...
The subjects of infrared remote sensing of surface features for renewable resource applications is r...
The applicability of recognition-processing procedures for multispectral scanner data from areas and...
Evaluation system for classification of remote objects and materials identified by solar and thermal...
editor, Mark Settle.Historical Development of Multispectral Thermal Infrared Techniques for Geologic...
Two major aspects of remote sensing with multispectral scanners (MSS) are investigated. The first, m...
The author has identified the following significant results. The U.S. Army Engineer Waterways Experi...
A computational model of the processes involved in multispectral remote sensing and data classificat...
Method is combination of digital and optical techniques. Multispectral data is coded into binary mat...
The development of techniques to extend spectral signatures in space and time is reported. Signature...
This paper reports the outcomes of the 2014 Data Fusion Contest organized by the Image Analysis and ...
Adaptive data processing procedures are applied to the problem of classifying objects in a scene sca...
The advantages and disadvantages of various remote sensing instrumentation and analysis techniques a...
The optimization of a thematic mapper for earth resources application is discussed in terms of cost ...
Two parallel and overlapping approaches to classification of remotely sensed data with the aid of sp...
The development and characteristics of a multispectral band scanner for an airborne mapping system a...
The subjects of infrared remote sensing of surface features for renewable resource applications is r...
The applicability of recognition-processing procedures for multispectral scanner data from areas and...
Evaluation system for classification of remote objects and materials identified by solar and thermal...
editor, Mark Settle.Historical Development of Multispectral Thermal Infrared Techniques for Geologic...
Two major aspects of remote sensing with multispectral scanners (MSS) are investigated. The first, m...
The author has identified the following significant results. The U.S. Army Engineer Waterways Experi...
A computational model of the processes involved in multispectral remote sensing and data classificat...
Method is combination of digital and optical techniques. Multispectral data is coded into binary mat...
The development of techniques to extend spectral signatures in space and time is reported. Signature...
This paper reports the outcomes of the 2014 Data Fusion Contest organized by the Image Analysis and ...
Adaptive data processing procedures are applied to the problem of classifying objects in a scene sca...
The advantages and disadvantages of various remote sensing instrumentation and analysis techniques a...
The optimization of a thematic mapper for earth resources application is discussed in terms of cost ...
Two parallel and overlapping approaches to classification of remotely sensed data with the aid of sp...
The development and characteristics of a multispectral band scanner for an airborne mapping system a...
The subjects of infrared remote sensing of surface features for renewable resource applications is r...