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Proceedings Paper

A method to generate sub-pixel classification maps for use in DIRSIG three-dimensional models
Author(s): Ryan N. Givens; Karl C. Walli; Michael T. Eismann
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Paper Abstract

Developing new remote sensing instruments is a costly and time consuming process. The Digital Imaging and Remote Sensing Image Generation (DIRSIG) model gives users the ability to create synthetic images for a proposed sensor before building it. However, to produce synthetic images, DIRSIG requires facetized, three-dimensional models attributed with spectral and texture information which can themselves be costly and time consuming to produce. Recent work has been successful in generating these scenes using an automated method when coincident HyperSpectral Imagery (HSI), LIght Detection and Ranging (LIDAR), and high-resolution imagery of a site are available. An important step in this process is attributing the three-dimensional information gained from the LIDAR with spectral information gained from the HSI. Previous work was able to do this attribution at the resolution of the HSI, but the HSI is generally at the lowest resolution of the three modalities. Due to the highly accurate method used to register the HSI, LIDAR, and highresolution imagery, the potential for bringing additional information into the classification process exists. This paper will present a method to generate classification maps at or near the resolution of the high-resolution imagery component of the fused imagery. Initial results using this new method are provided and are promising in terms of their ability to ultimately help produce higher fidelity DIRSIG models.

Paper Details

Date Published: 18 May 2013
PDF: 9 pages
Proc. SPIE 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 87430Q (18 May 2013); doi: 10.1117/12.2015397
Show Author Affiliations
Ryan N. Givens, Air Force Institute of Technology (United States)
Karl C. Walli, Air Force Institute of Technology (United States)
Michael T. Eismann, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 8743:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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