Fast Registration of Remotely Sensed Images for Earthquake Damage Estimation

Abstract

Analysis of the multispectral remotely sensed images of the areas destroyed by an earthquake is proved to be a helpful tool for destruction assessments. The performance of such methods is highly dependant on the preprocess that registers the two shots before and after an event. In this paper, we propose a new fast and reliable change detection method for remotely sensed images and analyze its performance. The experimental results show the efficiency of the proposed algorithm.

Object registration for remote sensing images using robust kernel pattern vectors

“…The registration of multitemperal remote sensing images before and after disasters is a challenging problem [1]. The main reasons include: (1) the area-based registration methods are unsuitable for the task because the gray-level of multitemperal remote sensing images before and after disaster usually varies.…”