Journal : Acta Geophysica
Article : Testing Texture of VHR Panchromatic Data as a Feature of Land Cover Classification

Authors :
Namvaran, M.
Kerman Graduate University of Technology, Geophysics Department, Kerman, Iran, m.namvaran@kgut.ac.ir,
Negarestni, A.
Kerman Graduate University of Technology, Electrical Engineering Department, Kerman, Iran, a.negarestani@kgut.ac.ir,
Grad, M.
Institute of Geophysics, Faculty of Physics, University of Warsaw, Warsaw, Poland, mgrad@mimuw.edu.pl,
Polkowski, M.
Institute of Geophysics, Faculty of Physics, University of Warsaw, Warsaw, Poland,
Wilde-Piórko, M.
Institute of Geophysics, Faculty of Physics, University of Warsaw, Warsaw, Poland,
Suchcicki, J.
Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland,
Arant, T.
Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland,
Teisseyre, R.
Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland, rt@igf.edu.pl,
Moilanen, J.
Lomonosov Moscow State University, Moscow, Russia, moilanen@mail.ru,
Pushkarev, P.Yu.
Lomonosov Moscow State University, Moscow, Russia, pavel_pushkarev@list.ru,
Sas, W.
Faculty of Civil- and Environmental Engineering, Warsaw University of Life Sciences (SGGW), Warsaw, Poland, wojciech_sas@sggw.pl,
Gabryś, K.
Faculty of Civil- and Environmental Engineering, Warsaw University of Life Sciences (SGGW), Warsaw, Poland, katarzyna_gabrys@sggw.pl,
Szymański, A.
Faculty of Civil- and Environmental Engineering, Warsaw University of Life Sciences (SGGW), Warsaw, Poland, ajozy_szymanski@sggw.pl,
Oliviera, S. D. S.
Faculty of Geophysics, Federal University of Para, Belem, Brazil; Faculty of Meteorology, Federal University of Para, Belem, Brazil , frasol@ufpa.br,
Figueredo, J. J. S.
Geoprocessados, Virlemosa, Mexico, lucas.batista.freitas@gmail.com,
Li, Ch.
School of Computer Engineering and Science, Shanghai University, Shanghai, China,
Dai, Y.
School of Computer Engineering and Science, Shanghai University, Shanghai, China,
Zhao, J.
School of Computer Engineering and Science, Shanghai University, Shanghai, China,
Zhou, S.
School of Computer Engineering and Science, Shanghai University, Shanghai, China,
Yin, J.
School of Computer Engineering and Science, Shanghai University, Shanghai, China,
Xue, D.
School of Computer Engineering and Science, Shanghai University, Shanghai, China,
Wu, W.
State Key Laboratory of Petroleum Resource and Prospecting, China University of Petroleum, Beijing, China, wwsheng@cup.edu.cn,
Niu, W.
State Key Laboratory of Petroleum Resource and Prospecting, China University of Petroleum, Beijing, China,
Tong, D.
Daqing Drilling Corporation, PetroChina, Daqing, China,
Luo, L.
CCDC Well Logging Company, Chongqing, China,
Zhang, R.
Department of Civil Engineering, North China Institute of Science and Technology, Sanhe-Hebei, China, zhangruihongw@163.com,
Zhang, L.
Department of Civil Engineering, North China Institute of Science and Technology, Sanhe-Hebei, China, zhanglihua@ncist.edu.cn,
Kaczmarek, L. M.
University of Technology, Department of Geotechnics, Koszalin, Poland, leszek.kaczmarek@tu.koszalin.pl,
Sawczyński, Sz.
University of Warmia and Mazury, Department of Mechanics and Civil Engineering Constructions, Olsztyn, Poland, sz.sawczynski@uwm.edu.pl,
Biegowski, J.
Polish Academy of Sciences, Institute of Hydroengineering, Gdańsk, Poland, jarbieg@ibwpan.gda.pl,
Kozioł, A.
Faculty of Civil and Environmental Engineering, Warsaw University of Life Sciences, Warszawa, Poland, adam_koziol@sggw.pl,
Pierini, J. O.
Centro Científico y Tecnológico de Bahía Blanca (CCT-BB, CIC, UNS), CRIBABB, Bahía Blanca, Argentina, jpierini@criba.edu.ar,
Restrepo, J. C.
Grupo de Física Aplicada: Océano y Atmósfera, Departamento de Fisica, Universidad del Norte, Barranquilla, Colombia,
Lovallo, M.
Agenzia Regionale per la Protezione dell'Ambiente di Basilicata (ARPAB), Potenza, Italy,
Telesca, L.
National Research Council of Italy, Institute of Methodologies for Environmental Analysis (CNR-IMAA), Tito, Italy,
Lewiński, S.
Space Research Centre, Polish Academy of Sciences, Warszawa, Poland,
Aleksandrowicz, S.
Space Research Centre, Polish Academy of Sciences, Warszawa, Poland, saleksandrowicz@cbk.waw.pl,
Banaszkiewicz, M.
Space Research Centre, Polish Academy of Sciences, Warszawa, Poland, marekb@cbk.waw.pl,
Abstract : While it is well-known that texture can be used to classify very high resolution (VHR) data, the limits of its applicability have not been unequivocally specified. This study examines whether it is possible to divide satellite images into two classes associated with “low” and “high” texture values in the initial stage of processing VHR images. This approach can be effectively used in object-oriented classification. Based on the panchromatic channel of KOMPSAT-2 images from five areas of Europe, datasets with down-sampled pixel resolutions of 1, 2, 4, 8, and 16 m were prepared. These images were processed using different texture analysis techniques in order to discriminate between basic land cover classes. Results were assessed using the normalized feature space distance expressed by the Jeffries–Matusita distance. The best results were observed for images with the highest resolution processed by the Laplacian filter. Our research shows that a classification approach based on the idea of “low” and “high” textures can be effectively applied to panchromatic data with a resolution of 8 m or higher.

Keywords : object-oriented classification, land cover classification, texture, Laplacian filter,
Publishing house : Instytut Geofizyki PAN
Publication date : 2015
Number : Vol. 63, no. 2
Page : 547 – 567

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DOI :
Qute : Namvaran, M. ,Negarestni, A. ,Grad, M. ,Polkowski, M. ,Wilde-Piórko, M. ,Suchcicki, J. ,Arant, T. ,Teisseyre, R. ,Moilanen, J. ,Pushkarev, P.Yu. ,Sas, W. ,Gabryś, K. ,Szymański, A. ,Oliviera, S. D. S. ,Figueredo, J. J. S. ,Li, Ch. ,Dai, Y. ,Zhao, J. ,Zhou, S. ,Yin, J. ,Xue, D. ,Wu, W. ,Niu, W. ,Tong, D. ,Luo, L. ,Zhang, R. ,Zhang, L. ,Kaczmarek, L. M. ,Sawczyński, Sz. ,Biegowski, J. ,Kozioł, A. ,Pierini, J. O. ,Restrepo, J. C. ,Lovallo, M. ,Telesca, L. ,Lewiński, S. ,Aleksandrowicz, S. ,Banaszkiewicz, M. ,Banaszkiewicz, M. , Testing Texture of VHR Panchromatic Data as a Feature of Land Cover Classification. Acta Geophysica Vol. 63, no. 2/2015
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