Hyperspectral image sharpening based on Ehlers fusion
Autor(en): | Xu, S. Ehlers, M. |
Herausgeber: | Yang, B. Lindenbergh, R. Rocca, F. Du, S. Lin, X. Qiao, G. Heipke, C. Gui, Z. Delavar, M.R. Zhao, L. Li, D. Wu, H. Wu, L. Li, S. Diaz-Vilarino, L. Balz, T. Kang, C. Cheng, X. Weinmann, M. Shi, W. Sorgel, U. Zhang, J. Li, X. Gong, J. Li, R. Boehm, J. Kang, Z. Lu, B. Qin, K. Yao, W. Khoshelham, K. Peter, M. Abdulmuttalib, H. Osmanoglu, B. Rutzinger, M. Li, P. Chen, C. |
Stichwörter: | Band-pass filter; Bandpass filters; Data fusion; Ehlers fusion; Frequency domain analysis; Gram-Schmidt transform; High-Pass Filter; High-pass filtering; Hyperspectral image; Hyperspectral imaging; IHS transform; IHS transforms; Image fusion; Independent component analysis; Pan-sharpening; Pansharpening; Principal component analysis; Principal Components; Principle component; Quality control; Spatial enhancement, High pass filters; Spectroscopy, Colour preservations | Erscheinungsdatum: | 2017 | Herausgeber: | International Society for Photogrammetry and Remote Sensing | Journal: | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives | Volumen: | 42 | Ausgabe: | 2W7 | Startseite: | 941 | Seitenende: | 947 | Zusammenfassung: | As the application of hyperspectral images is increasing, many researchers attempt to extend existing pansharpening techniques to hyperspectral images. This paper focuses on the application of Ehlers fusion to hyperspectral image sharpening. Ehlers fusion involves two crucial algorithms: filter technique in the frequency domain and intensity transform. In this study, different filter types and intensity transform methods were analysed separately. With a combination of filter types and intensity transforms, the fusion procedure was implemented to test data sets. The spectral profiles of the pixels of the images were then used as a tool to control the quality of the fused image. Finally, the performance of Ehlers fusion is compared with Principle Component (PC) analysis, Gram-Schmidt transform (Gram-Schmidt), High-Pass Filtering in the spatial domain (HPF), and Wavelet Principal Component (Wavelet-PC) analysis using the same input data. The comparison shows that Ehlers high-pass filter fusion shows outstanding performance both on spatial enhancement and colour preservation. © Authors 2017. CC BY 4.0 License. |
Beschreibung: | Conference of ISPRS Geospatial Week 2017 ; Conference Date: 18 September 2017 Through 22 September 2017; Conference Code:130587 |
ISSN: | 16821750 | DOI: | 10.5194/isprs-archives-XLII-2-W7-941-2017 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031038026&doi=10.5194%2fisprs-archives-XLII-2-W7-941-2017&partnerID=40&md5=a3d46c037e6ac37f25a88a91d18072c6 |
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geprüft am 17.05.2024