Inventory estimation on the massively parallel processorThis paper describes algorithms for efficiently computing inventory estimates from satellite based images. The algorithms incorporate a one dimensional feature extraction which optimizes the pairwise sum of Fisher distances. Biases are eliminated with a premultiplication by the inverse of the analytically derived error matrix. The technique is demonstrated with a numerical example using statistics obtained from an actual Landsat scene. Attention was given to implementation of the Massively Parallel processor (MPP). A timing analysis demonstrates that the inventory estimation can be performed an order of magnitude faster on the MPP than on a conventional serial machine.
Document ID
19810061648
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Argentiero, P. D. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Strong, J. P. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Koch, D. W. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1980
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: Annual Symposium on Machine processing of remotely sensed data and soil information systems and remote sensing and soil survey