A new web-based system for unsupervised classification of satellite images from the Google Maps engine

Ángel Ferrán; Sergio Bernabé; Pablo García-Rodríguez; Antonio Plaza

doi:10.1117/12.929788

19 October 2012 A new web-based system for unsupervised classification of satellite images from the Google Maps engine

Ángel Ferrán, Sergio Bernabé, Pablo García-Rodríguez, Antonio Plaza

Proceedings Volume 8514, Satellite Data Compression, Communications, and Processing VIII; 85140R (2012) https://doi.org/10.1117/12.929788
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

Abstract

In this paper, we develop a new web-based system for unsupervised classification of satellite images available from the Google Maps engine. The system has been developed using the Google Maps API and incorporates functionalities such as unsupervised classification of image portions selected by the user (at the desired zoom level). For this purpose, we use a processing chain made up of the well-known ISODATA and k-means algorithms, followed by spatial post-processing based on majority voting. The system is currently hosted on a high performance server which performs the execution of classification algorithms and returns the obtained classification results in a very efficient way. The previous functionalities are necessary to use efficient techniques for the classification of images and the incorporation of content-based image retrieval (CBIR). Several experimental validation types of the classification results with the proposed system are performed by comparing the classification accuracy of the proposed chain by means of techniques available in the well-known Environment for Visualizing Images (ENVI) software package. The server has access to a cluster of commodity graphics processing units (GPUs), hence in future work we plan to perform the processing in parallel by taking advantage of the cluster.

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Ángel Ferrán, Sergio Bernabé, Pablo García-Rodríguez, and Antonio Plaza "A new web-based system for unsupervised classification of satellite images from the Google Maps engine", Proc. SPIE 8514, Satellite Data Compression, Communications, and Processing VIII, 85140R (19 October 2012); https://doi.org/10.1117/12.929788

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KEYWORDS

Image processing

Image classification

Satellites

Satellite imaging

Earth observing sensors

Classification systems

Zoom lenses

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