Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/66371
| Title: | Approximate area-to-point regression kriging for fast hyperspectral image sharpening | Authors: | Wang, Q Shi, W Atkinson, PM Wei, Q |
Issue Date: | Jan-2017 | Source: | IEEE journal of selected topics in applied earth observations and remote sensing, Jan. 2017, v. 10, no. 1, p. 286-295 | Abstract: | Area-to-point regression kriging (ATPRK) is an advanced image fusion approach in remote sensing In this paper, ATPRK is considered for sharpening hyperspectral images (HSIs), based on the availability of a fine spatial resolution panchromatic or multispectral image. ATPRK can be used straightforwardly to sharpen each coarse hyperspectral band in turn. This scheme, however, is computationally expensive due to the large number of bands in HSIs, and this problem is exacerbated for multiscene or multitemporal analysis. Thus, we extend ATPRK for fast HSI sharpening with a new approach, called approximate ATPRK (AATPRK), which transforms the original HSI to a new feature space and image fusion is performed for only the first few components before back transformation. Experiments on two HSIs show that AATPRK greatly expedites ATPRK, but inherits the advantages of ATPRK, including maintaining a very similar performance in sharpening (both ATPRK and AATPRK can produce more accurate results than seven benchmark methods) and precisely conserving the spectral properties of coarse HSIs. | Keywords: | Area-to-point regression kriging (ATPRK) Downscaling Geostatistics Hyperspectral image (HSI) Image fusion Sharpening |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE journal of selected topics in applied earth observations and remote sensing | ISSN: | 1939-1404 | EISSN: | 2151-1535 | DOI: | 10.1109/JSTARS.2016.2569480 | Rights: | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication Wang, Q., Shi, W., Atkinson, P. M., & Wei, Q. (2016). Approximate area-to-point regression kriging for fast hyperspectral image sharpening. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(1), 286-295 is available at https://doi.org/10.1109/JSTARS.2016.2569480 |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Wang_Approximate_Area-to-point_Regression.pdf | Pre-Published version | 2.18 MB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
102
Last Week
0
0
Last month
Citations as of Oct 1, 2023
Downloads
35
Citations as of Oct 1, 2023
SCOPUSTM
Citations
10
Last Week
0
0
Last month
Citations as of Sep 28, 2023
WEB OF SCIENCETM
Citations
8
Last Week
0
0
Last month
Citations as of Sep 28, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.