Qualitative Spatial Reasoning for High-Resolution Remote Sensing Image Analysis

Abstract : High resolution remote sensing images allow us to access new kinds of information. Classical techniques for image analysis, such as pixel-based classifications or region-based segmentations, do not allow to fully exploit the richness of this kind of images. Indeed, for many applications, we are interested in complex objects which can only be identified and analysed by studying the relationships between the elementary objects which compose them. In this paper, the use of a spatial reasoning technique called Region Connection Calculus for the analysis of high resolution remote sensing images is presented. A graph based representation of the spatial relationships between the regions of an image is used within a graph-matching procedure in order to implement an object detection algorithm.
Document type :
Journal articles
Complete list of metadatas

Cited literature [36 references]  Display  Hide  Download

Contributor : Jordi Inglada <>
Submitted on : Friday, May 20, 2011 - 9:47:02 AM
Last modification on : Saturday, October 26, 2019 - 1:46:23 AM
Long-term archiving on : Friday, November 9, 2012 - 11:46:42 AM


Files produced by the author(s)




Jordi Inglada, Julien Michel. Qualitative Spatial Reasoning for High-Resolution Remote Sensing Image Analysis. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2009, 47 (2), pp.599-612. ⟨10.1109/TGRS.2008.2003435⟩. ⟨hal-00594525⟩



Record views


Files downloads