Paper
18 May 2013 A method to generate sub-pixel classification maps for use in DIRSIG three-dimensional models
Ryan N. Givens, Karl C. Walli, Michael T. Eismann
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ryan N. Givens, Karl C. Walli, and Michael T. Eismann "A method to generate sub-pixel classification maps for use in DIRSIG three-dimensional models", Proc. SPIE 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 87430Q (18 May 2013); https://doi.org/10.1117/12.2015397
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
LIDAR

3D modeling

Image registration

Image classification

Image resolution

Image processing

Digital imaging

Back to Top