Paper
4 January 2006 DEM generation with PRISM/ALOS simulation data: a case study using airborne three-line scanner imagery
Tianen Chen, Ryosuke Shibasaki, Fumio Shinohara, Cheng Wang
Author Affiliations +
Proceedings Volume 5985, International Conference on Space Information Technology; 59854U (2006) https://doi.org/10.1117/12.659399
Event: International Conference on Space information Technology, 2005, Wuhan, China
Abstract
For natural landscape, area-based matching can be successfully applied because the elevation is undulating rather gently. On the other hands, urban areas with the mixture of artificial structures such as buildings and natural landscape, where the elevation tends to have steeper changes, conventional area-based matching may not be successful. Many computer vision papers demonstrated matching methods based on features such as edge and regions extracted from images have much better performance for artificial structures. 2.5 m ground resolution of PRISM, however, may not be enough to extract detailed features enough to represent artificial structures. This may suggest the combination of area-based and feature-based matching approach can be more appropriate for ALOS PRISM data. This paper presents the results of experiments on the combination of the two approaches using simulated PRISM image generated from air-borne image sensor, TLS (Three Line Scanner).
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tianen Chen, Ryosuke Shibasaki, Fumio Shinohara, and Cheng Wang "DEM generation with PRISM/ALOS simulation data: a case study using airborne three-line scanner imagery", Proc. SPIE 5985, International Conference on Space Information Technology, 59854U (4 January 2006); https://doi.org/10.1117/12.659399
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KEYWORDS
Prisms

Feature extraction

Scanners

Image resolution

Radiometry

Image segmentation

CCD image sensors

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