A case study on an improved method for very high spatial resolution satellite image classification: watersheds across the complex environment of high Pacific islands

Marc Despinoy; Maelle Aubert; Mickael Barotin; Morgan Mangeas

doi:10.1117/12.804805

11 December 2008 A case study on an improved method for very high spatial resolution satellite image classification: watersheds across the complex environment of high Pacific islands

Marc Despinoy, Maelle Aubert, Mickael Barotin, Morgan Mangeas

Author Affiliations +

Proceedings Volume 7149, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications II; 71490O (2008) https://doi.org/10.1117/12.804805
Event: SPIE Asia-Pacific Remote Sensing, 2008, Noumea, New Caledonia

Abstract

Due to the complexity of the tropical terrestrial environment present in Pacific islands and the lack of ground data, remote sensing could offer an appropriate tool for obtaining a better understanding and knowledge of the key parameters necessary to many environmental applications. Moreover, recent sensors provide high spatial resolution and good temporal periodicity which is suitable for the study of tropical environments. The potentiality of an oriented-object technique for land-cover mapping will be illustrated in this paper. Unlike traditional pixel-based classification, this technique is based on object-use topology and shape features for the differentiation of target classes. It offers a complex "knowledge base" about classes which can be directly formulated in classification rule sets. The first step applied to images is "segmentation" which enables the improvement of classification accuracy as compared with that achievable using only individual spectral signature pixels. In fact, indices based on spectral, spatial and textural or structural parameters are explored in order to reduce the confusion between classes. The results from the segmentation are then used to produce a classification of objects. The oriented-object classification technique is carried out on a section of Efate Island (Vanuatu republic) using images acquired in 2007/2008 by Formosat-2 sensor. Finally, the accuracy of the oriented-object classification is established with the help of ground control points.

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Marc Despinoy, Maelle Aubert, Mickael Barotin, and Morgan Mangeas "A case study on an improved method for very high spatial resolution satellite image classification: watersheds across the complex environment of high Pacific islands", Proc. SPIE 7149, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications II, 71490O (11 December 2008); https://doi.org/10.1117/12.804805

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KEYWORDS

Image segmentation

Clouds

Satellites

Image classification

Image processing

Roads

Earth observing sensors

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