Digital image correlation techniques applied to LANDSAT multispectral imagery

The author has identified the following significant results. Automatic image registration and resampling techniques applied to LANDSAT data achieved accuracies, resulting in mean radial displacement errors of less than 0.2 pixel. The process method utilized recursive computational techniques and line-by-line updating on the basis of feedback error signals. Goodness of local feature matching was evaluated through the implementation of a correlation algorithm. An automatic restart allowed the system to derive control point coordinates over a portion of the image and to restart the process, utilizing this new control point information as initial estimates

The Design and Use of Special Purpose Processors for the Machine Processing of Remotely Sensed Data

The processing of the expected volumes of remotely sensed data will overburden the available computer resources. One solution to the problem is the use of special purpose processors. This paper describes two such processors which are suitable for processing remotely sensed data. Also, examples of the use of the processors on specific problems encountered in remotely sensed data are described