ERS-2 SAR and IRS-1C LISS III data fusion: A PCA approach to improve remote sensing based geological interpretation

• Published in: ISPRS journal of photogrammetry and remote sensing Vol. 61; no. 5; pp. 281 - 297
• Main Authors: Pal, S.K., Majumdar, T.J., Bhattacharya, Amit K.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 2007; Elsevier Science
• Subjects: Animal, plant and microbial ecology; Applied geophysics; Biological and medical sciences; Change detection; Earth sciences; Earth, ocean, space; ERS-2 SAR; Exact sciences and technology; Feature-oriented principal components selection; Fundamental and applied biological sciences. Psychology; General aspects. Techniques; Image fusion; Internal geophysics; IRS-1C LISS III; Lithological discrimination; Teledetection and vegetation maps; India; Singhbhum shear zone; IRS-1C LISS III; Feature-oriented principal components selection; Change detection; ERS-2 SAR; Image fusion; Lithological discrimination; detection; Fourier transformation; histograms; maps; color; geographic information systems; remote sensing; Image; principal components analysis; synthetic aperture radar; Asia; interpretation; imagery; filtering
• ISSN: 0924-2716; 1872-8235
• DOI: 10.1016/j.isprsjprs.2006.10.001

Fusion of optical and synthetic aperture radar data has been attempted in the present study for mapping of various lithologic units over a part of the Singhbhum Shear Zone (SSZ) and its surroundings. ERS-2 SAR data over the study area has been enhanced using Fast Fourier Transformation (FFT) based filtering approach, and also using Frost filtering technique. Both the enhanced SAR imagery have been then separately fused with histogram equalized IRS-1C LISS III image using Principal Component Analysis (PCA) technique. Later, Feature-oriented Principal Components Selection (FPCS) technique has been applied to generate False Color Composite (FCC) images, from which corresponding geological maps have been prepared. Finally, GIS techniques have been successfully used for change detection analysis in the lithological interpretation between the published geological map and the fusion based geological maps. In general, there is good agreement between these maps over a large portion of the study area. Based on the change detection studies, few areas could be identified which need attention for further detailed ground-based geological studies.