The Scheme and the Preliminary Test of Object-Oriented Simultaneous 3D Geometric and Physical Change Detection Using GIS-guided Knowledge

Chang Li, W. Shi, Fangfang Li
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引用次数: 1

Abstract

Current methods of remotely sensed image change detection almost assume that the DEM of the surface objects do not change. However, for the geological disasters areas (such as: landslides, mudslides and avalanches, etc.), this assumption does not hold. And the traditional approach is being challenged. Thus, a new theory for change detection needs to be extended from two-dimensional (2D) to three-dimensional (3D) urgently. This paper aims to present an innovative scheme for change detection method, object-oriented simultaneous three-dimensional geometric and physical change detection (OOS3DGPCD) using GIS-guided knowledge. This aim will be reached by realizing the following specific objectives: a) to develop a set of automatic multi-feature matching and registration methods; b) to propose an approach for simultaneous detecting 3D geometric and physical attributes changes based on the object-oriented strategy; c) to develop a quality control method for OOS3DGPCD; d) to implement the newly proposed OOS3DGPCD method by designing algorithms and developing a prototype system. For aerial remotely sensed images of YingXiu, Wenchuan, preliminary experimental results of 3D change detection are shown so as to verify our approach.
基于gis引导知识的面向对象三维几何物理变化同步检测方案及初步测试
目前的遥感图像变化检测方法几乎都假定地表目标的DEM不变。然而,对于地质灾害地区(如:滑坡、泥石流、雪崩等),这种假设就不成立了。传统的方法正受到挑战。因此,迫切需要将一种新的变化检测理论从二维(2D)扩展到三维(3D)。本文提出了一种基于gis知识的变化检测方法创新方案——面向对象的三维几何与物理变化同步检测(OOS3DGPCD)。要实现这一目标,需要实现以下具体目标:a)开发一套多特征自动匹配和配准方法;b)提出了一种基于面向对象策略的三维几何和物理属性变化同时检测方法;c)制定OOS3DGPCD的质量控制方法;d)通过设计算法和开发原型系统来实现新提出的OOS3DGPCD方法。以汶川映秀的航空遥感影像为例,给出了三维变化检测的初步实验结果,验证了我们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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