An area change detection method of remote sensing image using historical land use graph

Xiangjun Li; Xiaolian Deng; Zheng Niu; Famao Ye

doi:10.1117/12.657846

4 January 2006 An area change detection method of remote sensing image using historical land use graph

Xiangjun Li, Xiaolian Deng, Zheng Niu, Famao Ye

Proceedings Volume 5985, International Conference on Space Information Technology; 59852Y (2006) https://doi.org/10.1117/12.657846
Event: International Conference on Space information Technology, 2005, Wuhan, China

Abstract

Kinds of historical vector graphs have been gradually accumulated by ground truth data or other reliable sources, but these data have not been fully adopted to detect change in remote sensing circle. In this paper we describe a novel change detection method. The key feature of the new method is the use of a piece of historical land using vector graph. By combing one satellite image and the vector graph after necessary geometric rectification, we could detect change region of the satellite image corresponding to patches in the vector graph. Through adopting coefficient of part change and coefficient of entire change, the study calculates statistics indexes of image corresponding to patches of vector graph with different coefficient groups and assesses the computing results by kappa matrix. According to analytical results, the coefficient of entire change is more important to the number of commission error than the coefficient of part change. This method is benefit to the reuse of historical vector graphs. As the image-processing work of this method is based on patches of historical vector graph, it helps to the development of different vector graphs.

Citation Download Citation

Xiangjun Li, Xiaolian Deng, Zheng Niu, and Famao Ye "An area change detection method of remote sensing image using historical land use graph", Proc. SPIE 5985, International Conference on Space Information Technology, 59852Y (4 January 2006); https://doi.org/10.1117/12.657846

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KEYWORDS

Remote sensing

Satellites

Earth observing sensors

Satellite imaging

Error analysis

Digital imaging

Reflectivity

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