Digital Terrain Data Compaction Using Array Algebra.

TL;DR: In this article, the applicability of array algebra for digital terrain modeling and data compaction is investigated, and two options are evaluated for converting the collected data into regularly spaced terrain elevations.

Abstract: : This report investigates the applicability of array algebra digital terrain modeling and data compaction. Two options were evaluated for converting the collected data into regularly spaced terrain elevations. First, an array prediction is performed of the data directly in the epipolar coordinate frame. This approach allows for data compaction and subsequent evaluation at uniform intervals in a gridded map coordinate system. Second, the principle of array algebra in a piecewise translocation algorithm is applied. In this approach the non-gridded epipolar coordinates are first converted to regularly spaced elevation data and then subsequently compacted using the methods of array prediction. In addition to analyzing the mathematical equations required for terrain compaction, the computational requirements were analyzed for both sequential and parallel processors. (Author)