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A NEW LIGHT ON ORIGINS OF POLARIMETRIC MISCLASSIFICATION OF THE SOMA DISTRICT, DUE TO THE DIFFICULTY TO PREDICT ENTROPY

Abstract : Entropy is often used in polarimetric classification al- gorithms, for example by unsupervised Wishart classi- fication in alpha entropy feature space. In this frame- work, entropy is supposed to be low for man-made tar- gets. However, on most examples of classification results on San Francisco images, this parameter fails to well clas- sify the SOMA district, which contains a lot skyscrapers with a particular orientation. Even very recent studies fail to compensate the orientation effect on this area. More- over, TerraSAR-X images are also difficult to handle be- cause they show a high entropy with poor contrast be- tween natural and deterministic targets. Then, this paper investigates the reason of these issues. Several aspects are investigated: does entropy depends on noise ratio, wave- length, resolution size, orientation effect or complexity of the medium?
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https://hal.telecom-paris.fr/hal-02412135
Contributor : Telecomparis Hal <>
Submitted on : Sunday, December 15, 2019 - 12:47:08 PM
Last modification on : Friday, July 31, 2020 - 11:28:04 AM

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  • HAL Id : hal-02412135, version 1

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Elise Colin Koeninger, Flora Weissgerber, Nicolas Trouvé, J. M. Nicolas. A NEW LIGHT ON ORIGINS OF POLARIMETRIC MISCLASSIFICATION OF THE SOMA DISTRICT, DUE TO THE DIFFICULTY TO PREDICT ENTROPY. POLinSAR, Feb 2015, Frascati, Italy. ⟨hal-02412135⟩

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