Design and implementation of knowledge-based framework for ground objects recognition in remote sensing images

Shaobin Chen; Mingyue Ding; Chao Cai; Duo Chen

doi:10.1117/12.832436

30 October 2009 Design and implementation of knowledge-based framework for ground objects recognition in remote sensing images

Shaobin Chen, Mingyue Ding, Chao Cai, Duo Chen

Author Affiliations +

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 749832 (2009) https://doi.org/10.1117/12.832436
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

The advance of image processing makes knowledge-based automatic image interpretation much more realistic than ever. In the domain of remote sensing image processing, the introduction of knowledge enhances the confidence of recognition of typical ground objects. There are mainly two approaches to employ knowledge: the first one is scattering knowledge in concrete program and relevant knowledge of ground objects are fixed by programming; the second is systematically storing knowledge in knowledge base to offer a unified instruction for each object recognition procedure. In this paper, a knowledge-based framework for ground objects recognition in remote sensing image is proposed. This framework takes the second means for using knowledge with a hierarchical architecture. The recognition of typical airport demonstrated the feasibility of the proposed framework.

Citation Download Citation

Shaobin Chen, Mingyue Ding, Chao Cai, and Duo Chen "Design and implementation of knowledge-based framework for ground objects recognition in remote sensing images", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749832 (30 October 2009); https://doi.org/10.1117/12.832436

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