Paper
22 October 2010 Object based and geospatial image analysis: a semi-automatic pre-operational system
Julien Michel, Jordi Inglada, Julien Malik
Author Affiliations +
Abstract
High resolution optical remote sensing images allow to produce accurate land-cover maps. This is usually achieved using an ad-hoc mixture of image segmentation and supervised classification. The main drawback of this approach is that it does not scale for real world complete scenes. In this paper we present a framework which allows to implement this kind of image analysis without scale issues.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Julien Michel, Jordi Inglada, and Julien Malik "Object based and geospatial image analysis: a semi-automatic pre-operational system", Proc. SPIE 7830, Image and Signal Processing for Remote Sensing XVI, 78300H (22 October 2010); https://doi.org/10.1117/12.864691
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Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Image analysis

Image classification

Databases

Feature selection

Geographic information systems

Remote sensing

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