Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 153-160, 2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
20 Jun 2016
M. A. Azzaoui1, M. Adnani1, H. El Belrhiti2, I. E. Chaouki3, and C. Masmoudi1 1Laboratoire d’Electronique et de Traitement du Signal/ Géomatique (LETS/Géomat Faculté des Sciences de Rabat, Université Mohammed V-Agdal, 4 Avenue Ibn Battouta B.P. 1014 RP, Rabat, Maroc
2Département des Sciences Fondamentales et Appliquées. Institut Agronomique et Vétérinaire Hassan II. BP 6202, 10101 – Rabat, Maroc
3Ecole Nationale des Sciences Appliquées d’Agadir, Maroc. B.P. 1136
Keywords: Remote Sensing, Texture analysis, SVM, High resolution satellite image, Barchans dunes Abstract. Barchan dunes are the fastest moving sand dunes in the desert. We developed a process to detect barchans dunes on High resolution satellite images. It consisted of three steps, we first enhanced the image using histogram equalization and noise reduction filters. Then, the second step proceeds to eliminate the parts of the image having a texture different from that of the barchans dunes. Using supervised learning, we tested a coarse to fine textural analysis based on Kolomogorov Smirnov test and Youden’s J-statistic on co-occurrence matrix. As an output we obtained a mask that we used in the next step to reduce the search area. In the third step we used a gliding window on the mask and check SURF features with SVM to get barchans dunes candidates. Detected barchans dunes were considered as the fusion of overlapping candidates. The results of this approach were very satisfying in processing time and precision.
Conference paper (PDF, 2038 KB)

Citation: Azzaoui, M. A., Adnani, M., El Belrhiti, H., Chaouki, I. E., and Masmoudi, C.: DETECTION OF BARCHAN DUNES IN HIGH RESOLUTION SATELLITE IMAGES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 153-160,, 2016.

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