Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/43591
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Land Surveying and Geo-Informatics | en_US |
dc.creator | Wang, Q | en_US |
dc.creator | Shi, W | en_US |
dc.creator | Atkinson, PM | en_US |
dc.creator | Pardo-Igúzquiza, E | en_US |
dc.date.accessioned | 2016-06-07T06:22:35Z | - |
dc.date.available | 2016-06-07T06:22:35Z | - |
dc.identifier.issn | 0196-2892 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/43591 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2015 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. | en_US |
dc.rights | The following publication Wang, Q., Shi, W., Atkinson, P. M., & Pardo-Igúzquiza, E. (2015). A new geostatistical solution to remote sensing image downscaling. IEEE Transactions on Geoscience and Remote Sensing, 54(1), 386-396 is available at https://doi.org/10.1109/TGRS.2015.2457672 | en_US |
dc.subject | Area-to-point regression kriging (ATPRK) | en_US |
dc.subject | Downscaling | en_US |
dc.subject | Geostatistics | en_US |
dc.subject | Image fusion | en_US |
dc.subject | Landsat enhanced thematic mapper | en_US |
dc.subject | Moderate resolution imaging spectroradiometer (MODIS) | en_US |
dc.title | A new geostatistical solution to remote sensing image downscaling | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 386 | en_US |
dc.identifier.epage | 396 | en_US |
dc.identifier.volume | 54 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.doi | 10.1109/TGRS.2015.2457672 | en_US |
dcterms.abstract | The availability of the panchromatic (PAN) band in remote sensing images gives birth to so-called image fusion techniques for increasing the spatial resolution of images to that of the PAN band. The spatial resolution of such spatially sharpened images, such as for the MODIS and Landsat sensors, however, may not be sufficient to provide the required detailed land-cover/land-use information. This paper proposes an area-to-point regression kriging (ATPRK)-based geostatistical solution to increase the spatial resolution of remote sensing images beyond that of any input images, including the PAN band. The new approach is a two-stage approach, including covariate downscaling and ATPRK-based image fusion. The new approach treats the PAN band as the covariate and takes advantages of its textural information. It explicitly accounts for the size of support, spatial correlation, and the point spread function of the sensor and has the characteristic of perfect coherence with the original coarse data. Moreover, the new downscaling approach can be extended readily by incorporating other ancillary information. The proposed approach was examined using both Landsat and MODIS images. The results show that it can produce more accurate sharpened images than four benchmark approaches. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on geoscience and remote sensing, Jan. 2016, v. 54, no. 1, p. 386-396 | en_US |
dcterms.isPartOf | IEEE transactions on geoscience and remote sensing | en_US |
dcterms.issued | 2016-01 | - |
dc.identifier.scopus | 2-s2.0-84947031116 | - |
dc.identifier.eissn | 1558-0644 | en_US |
dc.identifier.rosgroupid | 2015002761 | - |
dc.description.ros | 2015-2016 > Academic research: refereed > Publication in refereed journal | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | LSGI-0463 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China;National Administration of Surveying; Ministry of Science and Technology of China | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 6593091 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Shi_New_Geostatistical_Solution.pdf | Pre-Published Version | 1.98 MB | Adobe PDF | View/Open |
Page views
102
Last Week
0
0
Last month
Citations as of Apr 21, 2024
Downloads
47
Citations as of Apr 21, 2024
SCOPUSTM
Citations
41
Last Week
0
0
Last month
Citations as of Apr 19, 2024
WEB OF SCIENCETM
Citations
38
Last Week
0
0
Last month
Citations as of Apr 18, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.