Supervised Classification Approaches to Analyze Hyperspectral Dataset
Автор: Sahar A. El_Rahman, Wateen A. Aliady, Nada I. Alrashed
Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp
Статья в выпуске: 5 vol.7, 2015 года.
Бесплатный доступ
In this paper, Spectral Angle Mapper (SAM) and Spectral Information Divergence (SID) classification approaches were used to classify hyperspectral image of Georgia, USA, using Environment of Visualizing Images (ENVI). It is a software application used to process and analyze geospatial imagery. Spatial, spectral subset and atmospheric correction have been performed for SAM and SID algorithms. Results showed that classification accuracy using the SAM approach was 72.67%, and SID classification accuracy was 73.12%. Whereas, the accuracy of SID approach is better than SAM approach. Consequently, the two approaches (SID and SAM) have proven to be accurately converged in classification of hyperspectral image of Georgia, USA.
Atmospheric Correction, Hyperspectral image, Spectral Angle Mapper, Spectral Information Divergence, Supervised classification
Короткий адрес: https://sciup.org/15013871
IDR: 15013871
Список литературы Supervised Classification Approaches to Analyze Hyperspectral Dataset
- Lamyaa G. Taha , Atia A. Shahin, "Assessment of Cartographic potential of airborne hyperspectral data for large scale mapping", Recent Advances in Image, Audio and Signal Processing, wseas2013, PP 143-153. EGYPT, 2013. ISBN: 978-960-474-350-6. http://www.wseas.us/e-library/conferences/2013/Budapest/IPASRE/IPASRE-19.pdf.
- U. Heiden, W. Heldens, S. Roessner, K. Segl, T. Esch and A. Mueller, "Landscape and Urban Planning in Urban structure type characterization using hyperspectral remote sensing and height information", Elsevier, pp 361-375, 2012.
- Stefan A. Robila, Andrew Gershman, " Spectral Matching Accuracy in Processing Hyperspectral Data", IEEE, 0-7803-9029-6/05, 2005. PP 163-166.
- Schurmer, "Air Force Research Laboratories Technology," J.H., U.K., 2003.
- S. J. Purkis and V. V. Klemas, "Remote Sensing and Global Environmental Change," Remote Sensing and Global Environmental Change, vol. 3, no. 10, 2011.
- Chein-I Chang, " An Information-Theoretic Approach to Spectral Variability, Similarity, and Discrimination for Hyperspectral Image Analysis", IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 46, NO. 5, AUGUST 2000, 1927-1932.
- S. Rashmi, A. Swapna, Venkat and S. Ravikiran, "Spectral Angle Mapper Algorithm for Remote Sensing Image Classification," Spectral Angle Mapper Algorithm for Remote Sensing Image Classification, vol. 1, no. 4, pp. 201-205, 2014.
- Belkacem Baassou, Mingyi He,Shaohui Mei, Yifan Zhang, "Unsupervised Hyperspectral Image Classification Algorithm By Integrating Spatial-Spectral Information", ICALIP 2012, 978-1-4673-0174-9/12, ?2012 IEEE, PP 610-615.
- S. Pignatti, M. R. Cavalli, V. Cuomo, L. Fusilli, M. Poscolieri and San, "Remote Sensing of Environment," Evaluating Hyperion capability for land cover mapping in a fragmented ecosystem: Pollino National Park, Italy,, vol. 3, no. 12, pp. 622-634, 2009.
- Khamael Abbas, Mustafa Rydh, "Satellite Image Classification and Segmentation by Using JSEG Segmentation Algorithm", I.J. Image, Graphics and Signal Processing, Copyright ? 2012 MECS, 10, pp 48-53. http://www.mecs-press.org/.
- J. Senthilnath, Nitin Karnwal, D. Sai Teja, "Crop Type Classification Based on Clonal Selection Algorithm for High Resolution Satellite Image", Image, Graphics and Signal Processing, Copyright ? 2014 MECS, 9, pp 11-19. http://www.mecs-press.org/.
- Samuel Rosario Torres, "Implementation of the SVDSS in the ENVI/IDL Environment", vol. 15, no. 12, 2002.
- D. White, "Hyperion Tools 2.0 Installation and User Guide, 2013.
- Jinguo Yuan, Zheng Niu, "Classification Using EO-1 Hyperion Hyperspectral and ETM+ Data", Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), IEEE, 0-7695-2874-0/07, 2007.
- P. Shipper, "Introduction to Hyperspectral Image Analysis," An International Electronic Journal, 2003. http://spacejournal.ohio.edu/pdf/shippert.pdf.
- Chein-I Chang, " Spectral Information Divergence for Hyperspectral Image Analysis", IEEE, 0-7803-5207-6/99, 1999,pp 509-511.
- E. Zhang, X. Zhang, Y. Shuyuan and W. Shuang, "Improving Hyperspectral Image Classification Using Spectral Information Divergence," Improving Hyperspectral Image Classification Using Spectral Information Divergence, vol. 11, no. 1, pp. 249-253, 2013.
