Fusion of TerraSAR-x and Landsat ETM+ data for protected area mapping in Uganda

International Journal of Applied Earth Observation and Geoinformation

Volumn 38, Issue , 2015, Pages 99-104

  Otukei, John Richard ^a   Blaschke, Thomas ^b   Collins, Michael ^c  

^a MAKERERE UNIVERSITY   (Uganda)

^b UNIVERSITY OF SALZBURG   (Austria)

^c UNIVERSITY OF CALGARY   (Canada)

Author keywords

Decision trees; Image fusion; Landsat ETM+; TerraSAR X

Indexed keywords

ACCURACY ASSESSMENT; DECISION ANALYSIS; LAND COVER; LANDSAT THEMATIC MAPPER; MAPPING; PRINCIPAL COMPONENT ANALYSIS; SATELLITE DATA; SPATIAL RESOLUTION; TERRASAR-X;

UGANDA;

EID: 84998699246     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2014.12.012     Document Type: Article

References (27)

1. Abd-Elrahman, A., Shaker, I.F., Abdel-Gawad, A.K., Abdel-Wahab, A., Enhancement of cloud-associated shadow areas in satellite images using wavelet image fusion. World Appl. Sci. J. 4 (2008), 363–370.
2. Al-Wasai, F.A., Kalyankar, N.V., Al-Zuky, A.A., The IHS transformations based image fusion. J. Global Res. Comput. Sci. 2 (2011), 70–77.
3. Amolins, K., Zhang, Y., Dare, P., Wavelet based image fusion techniques – an introduction, review and comparison. ISPRS J. Photogramm. Remote Sens. 62 (2007), 249–263.
4. Aplin, P., Remote sensing: base mapping. Prog. Phys. Geog. 27 (2003), 275–283.
5. Asner, G.P., Cloud cover in Landsat observations of the Brazilian Amazon. Int. J. Remote Sens. 22 (2001), 3855–3862.
6. Ban, Y.F., Synergy of multitemporal ERS-1 SAR and Landsat TM for classification of agricultural crops. Can. J. Remote Sens. 29 (2003), 518–526.
7. Chavez, P.S. Jr, Sides, S.C., Anderson, J.A., Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT. Photogramm. Eng. Remote Sens. 57 (1991), 295–303.
8. Chen, C.M., Hepner, G.F., Forster, R.R., Fusion of hyperspectral and radar data using the IHS transformation to enhance urban surface features. ISPRS J. Photogramm. Remote Sens. 58 (2003), 19–30.
9. Dong, J., Zhuang, D., Huang, Y., Fu, J., Advances in multi-sensor data fusion:algorithms and applications. Sensors 9 (2009), 7771–7784.
10. Erdas, Erdas Field Guide, Atlanta, Georgia. 2009, Erdas. Inc.
11. Gupta, R.P., Remote Sensing Geology. 1991, Springer-Verlag., Berlin.
12. Haack, B., Bechdol, M., Intergrating multisensor data and RADAR texture for land cover mapping. Comput. Geosci. 26 (2000), 411–421.
13. Kekre, H.B., Mishra, D., Saboo, R., review on image fusion techniques and performance evaluation parameters. Int. J. Eng. Sci. Technol. 5 (2013), 880–889.
14. Klonus, S., Comparison of pansharpening algorithms foor combining radar and multispectral data. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XXXXVII, 2008.
15. Kuplich, T.M., Freitas, C.C., Soares, J.V., The study of ERS-1 SAR and Landsat TM synergism for land use classiffication. Int. J. Remote Sens. 21 (2000), 2101–2111.
16. Li, H., Manjunath, B.S., Mitra, S.K., Multisensor image fusion using the wavelet transform. Graphical Models Image Process 57 (1995), 235–245.
17. Mather, P.M., Computer Processing of Remotely Sensed Images: An Introduction. 2004, John Willey and Sons, West Sussez, England.
18. Mcnairn, H., Champagne, C., Shang, J., Holmstrom, D.A., Reichert, G., Integration of Optical and Synthetic Aperture Radar(SAR) imagery for delivering operational annual crop inventories. ISPRS J. Photogramm. Remote Sens. 64 (2009), 434–449.
19. Metternicht, G.I., Zinck, J.A., Evaluating the information content of JERS-1 SAR and Landsat TM data for discrimination of soil erosion features. ISPRS J. Photogramm. Remote Sens. 53 (1998), 143–153.
20. Otukei, J.R., Blaschke, T., Land cover mapping using decision trees, support vector machines and maximum classification algorithms. Int. J. Appl. Earth Obs. GeoInf., 2010, S27–S31.
21. Pohl, C., Van Genderen, J.L., Multisensor image fusion in remote sensing:concepts, methods and applications. Int. J Remote Sens. 19 (2008), 823–854.
22. Pouran, B., Comparison between four methods of data fusion of ETM+ multispectral and pan images. Geo-Spat. Inf. Sci. 8 (2005), 112–122.
23. Schowengerdt, R.A., Recontruction of multispatial, multispectral image data using spatial frequency contents. Photogramm. Eng. Remote Sens. 46 (1980), 1325–1334.
24. Shah, V.P., Younan, N.H., An efficient pan-sharpening method via a combined PCA approach and contourlets. IEEE Trans. Geosci. Remote Sens. 46 (2008), 1323–1335.
25. Tu, T., Su, S., Shyu, H., Huang, P., A new look at the IHS-like image fusion methods. Inf. Fusion 2 (2001), 177–186.
26. Wald, L., Some terms of reference in data fusion. IEEE Trans. Geosci. Remote Sens. 37 (1999), 1190–1193.
27. Wang, Z., Ziou, D., Armenakis, C., LI, D.L.I., A comparative analysis of image fusion methods. IEEE Trans. Geosci. Remote Sens. 43 (2005), 1391–1402.