On semantics-based spatial data preprocessing: a case study in non-ortho RS images mosaic

Daojun Wang; Jianhua Gong; Ai-Nai Ma

doi:10.1117/12.812648

3 November 2008 On semantics-based spatial data preprocessing: a case study in non-ortho RS images mosaic

Daojun Wang, Jianhua Gong, Ai-Nai Ma

Proceedings Volume 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments; 714337 (2008) https://doi.org/10.1117/12.812648
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

A Three-Level Information Architecture containing Syntactic Information, Semantic Information and Pragmatic Information is put forward in Comprehensive Information Theory (CIT). From this point of view, spatial data analysis is in cooperation with semantic information and Spatial Data Preprocessing (SDP) is corresponding to syntactic information. However, in many practical applications, SDP based only on syntactic information can not get a good effect. Semantics-based preprocessing may be an effective scheme. RS images mosaic is a typical SDP where optimal mosaic line extraction is the crux. Lots of researches based on syntactic information are effective just for orthophoto maps. In this paper, an overall optimal mosaic line extraction scheme has been addressed for non-Ortho RS images. It is argued that there is no projection error in the projection datum fitted by Ground Control Points (GCPs), or regional main height surface which can be recognized in medium resolution RS images. Based on above reasons, the method suggests that GCPs collecting for precise geometrical correction should be on the main height surface, as well as the mosaic line extracting for RS images mosaic. Three sheets of CBERS CCD images of Taiyuan are taken as the experimental data. According to the afore-mentioned method, by collecting GCPs in wide riverbeds, all three sheets are rectified to an existing ETM+ mosaic image. And then, the central lines of wide riverbeds in the overlapping areas are extracted as the mosaic line. The experimental result indicates that this method can extract an overall optimal mosaic line and eliminate the visual texture seam-line effectively, even for non-Ortho RS images. It concludes that SDP based on semantic information can play a good role in spatial data applications.

Citation Download Citation

Daojun Wang, Jianhua Gong, and Ai-Nai Ma "On semantics-based spatial data preprocessing: a case study in non-ortho RS images mosaic", Proc. SPIE 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 714337 (3 November 2008); https://doi.org/10.1117/12.812648

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KEYWORDS

Remote sensing

Charge-coupled devices

Data modeling

Information architecture

RGB color model

Satellites

Information theory

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