Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/5197
| Title: | An assessment of shadow enhanced urban remote sensing imagery of a complex city - Hong Kong | Authors: | Wan, CY King, BA Li, Z |
Issue Date: | 25-Aug-2012 | Source: | International archives of the photogrammetry, remote sensing and spatial information sciences, Volume XXXIX-B6, 2012, XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia, p.177-182 | Abstract: | Large portions of shadowed areas in satellite images of urban areas can affect the accuracy of classification and thus reduce an image’s effectiveness in urban remote sensing applications. This is particularly acute in cities such as Hong Kong where dense high-rise buildings cast many long shadows across a variety of different surface types. One solution to this problem is to enhance shadowed areas so their spectral range becomes closer to their corresponding non-shadowed areas. Shadowed areas were automatically selected and two techniques, Gamma correction and Linear Correlation Correction, were applied to three study sites of a 2.4m Quickbird image. The selected study sites represent typical urban types of Hong Kong, ranging from high-rise commercial to low-rise residential areas. The shadow detection algorithm is based on the spectral shape index and its limitation is discussed. The histograms of the corresponding non-shadowed areas, the original and the enhanced shadow areas are used to compare the spectral range. The results show that the enhanced areas, in band ratios such as NDVI, show greater similarity after enhancement, but they also look darker than the non-shadowed areas. Where continuous shadowed areas such as in commercial areas, the spectral range cannot be restored. | Keywords: | Shadow detection Image enhancement Shadow removal Quickbird Urban Remote Sensing |
Publisher: | ISPRS Working Groups | ISSN: | 1682-1750 (print) 1682-1777 (CD-ROM) |
Rights: | Reproduced with permission of the author. The conference paper is available at <http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B6/> |
| Appears in Collections: | Conference Paper |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ISPRS_Melbourne_2012[1].pdf | 3.43 MB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
190
Last Week
3
3
Last month
Citations as of May 28, 2023
Downloads
156
Citations as of May 28, 2023
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.