Research on Terrain Reconstruction of Twin Sequence Images in Lunar Exploration

Abstract

The detectors are an important tool in deep space exploration; they can provide a large number of images which contain the ground environment information of celestial body. Bythree-dimensional reconstruction, terrain information can be extracted from these images, such as elevation data and texture data. This paper focuses on an adaptive terrain reconstruction for sequence image. A method, which calculate Binocular geometric model with matching measures of matching points and random sample consensus algorithm, is proposed. On the basic of this method, a densepoints matching method based on epipolar and homography constraints is presented. Besides the selection method of reconstruction image and the terrain reconstruction flow are discussed. The proposed adaptive terrain reconstruction satisfies the automation and real time requirement of some terrain reconstruction task, such as landing filed selection in detector landing, and is experiment and applied into sequence image of detector ChangE III’s landing camera, so as to ensure the safety of detector landing.