Coordination of Stereo Image Registration and Pixel Classification,
Abstract
An inadequate concept of how corresponding points relate to one another on dissimilar images has a greater effect than exposure geometry or data collection on registration problems in stereo photogrammetry. Conventional correlation, or one of its relatives, is the measure of similarity used in all automated stereo correlation systems. Correlation, a measure of the linear dependence between two sets of data, is an inadequate measure when there is less than, or more than, a moderate amount of image structure at and around points selected for image matching. The existence of structure should be recognized and utilized in an appropriate manner for image matching. Similarly, the absence of structure should be recognized, and the surrounding imagery should be used to complete matches where it is possible. The concurrent determination of what a pixel is, as well as where it is, can alleviate much of the registration problem. A variety of features including point-density data, texture, and edges, as well as existing cartographic knowledge, can be combined and organized through rules in order to more completely describe a point. The overall throughput of the compilation process will be improved in both time and accuracy if those functions which tend to support one another are concurrently, rather than sequentially, performed. If the compilation process takes place in image space, then the image matching operation as well as the other feature extraction operations, can be ordered by the data processing manager to best suit the function of the process. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 20, 1982
- Accession Number
- ADA111307
Entities
People
- Michael A. Crombie
Organizations
- Geospatial Research Laboratory