DTM extraction and its application using a digital stereoscopic image processing system with 3d display
Nobuhiko Mori
NEC Corporation
Teruyoshi Tagawa
Earth Resources Satellite Data Analysis Center
Shunji Murai
University of Tokyo
Saburo Ito
NEC Aerospace Systems Ltd.
NEC Crop (Ground System, Space)
Ikebe-cho 4035, Midori-ku, Yokohama, 226 Japan
Abstract
A new method for the extraction of earth resource information from images and maps has been developed. In this method, newly developed digital stereoscopic image processing system with liquid crystal shutter glasses is used. As this system is composed of a personal computer and its general peripherals, the cost is very low. Using this system, high accuracy DTM can be extracted from the stereoscopic images because the results of computer processing can be easily checked and corrected by using the 3D display of the system. Using the DTM, stereoscopic images for maps of any B/H ratio can be made from a single image or map and they can be used effectively for the extraction of earth resource information especially in the case of that many kinds of stereoscopic images and maps are overlaid on the display.
Introduction
A new Remote Sensing satellite JERS-1 (Japanese Earth Resources Satellite-1), with a stereo imaging system, will be launched in 1992 in Japan. The stereoscopic images and other images of his satellite are expected to be used in a field of mineral or oil resource exploration. Some researchers on these images have been already been conducted and here, a new kind of image analysis method has been developed. The outline of this method is explained in his paper. This method uses a newly developed digital stereoscopic image processing system with 3D display. Firstly, DTM is extracted from JERS-1 stereoscopic images or others by using this system. Secondly, stereoscopic images/maps of any B/H ratio are generated from the interested images/maps using this DTM. At last these stereoscopic images/maps are overlaid to get useful information about earth resources. Since much more information can be extracted from stereoscopic images than from a single image, this method has powerful abilities to extract earth resource information from images and maps.
