Application of a parallel pattern processor to remote sensing

This paper describes application techniques of satellite remote sensing using a newly developed interactive digital image processing system, where a parallel pattern processor performs characteristic roles. The pattern processor can execute several image processing functions at high speed, which are frequently used in remote sensing studies; affine transformation for geometric correction of LANDSAT MSS data to implement a satellite image database, maximum likelihood estimation for land cover classification, and pixelwise operations for change detection, etc.

These application results indicate that the developed interactive image processing system is sufficiently effective to process remote-sensed data.