Title | ||
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Fusion of LIDAR data with hyperspectral and high-resolution imagery for automation of DIRSIG scene generation |
Abstract | ||
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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 by Walli has shown that coincident LIDAR data and high-resolution imagery can be registered and used to automatically generate the geometry and texture information needed for a DIRSIG scene. This method, called LIDAR Direct, greatly reduces the time and manpower needed to generate a scene, but still requires user interaction to attribute facets with either library or field measured spectral information. This paper builds upon that work and presents a method for autonomously generating the geometry, texture, and spectral content for a scene when coincident LIDAR data, high-resolution imagery, and HyperSpectral Imagery (HSI) of a site are available. Then the method is demonstrated on real data. |
Year | DOI | Venue |
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2012 | 10.1109/AIPR.2012.6528215 | AIPR |
Keywords | DocType | Citations |
texture information,LIDAR Direct,synthetic image,spectral information,spectral content,DIRSIG scene generation,DIRSIG scene,high-resolution imagery,coincident LIDAR data,real data,time consuming | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
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Karl C. Walli | 1 | 1 | 1.70 |
Ryan Givens | 2 | 1 | 1.04 |
Michael T. Eismann | 3 | 326 | 19.71 |