Remote Sensing | |
Evaluating the Effects of Shadow Detection on QuickBird Image Classification and Spectroradiometric Restoration | |
Jindong Wu1  | |
[1] Department of Geography, California State University, Fullerton, 800 North State College Boulevard, Fullerton, CA 92831, |
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关键词: land use and land cover; pixel-based; object-oriented; high resolution; shadows; | |
DOI : 10.3390/rs5094450 | |
来源: mdpi | |
【 摘 要 】
Shadows in high resolution imagery create significant problems for urban land cover classification and environmental application. We first investigated whether shadows were intrinsically different and hypothetically possible to separate from each other with ground spectral measurements. Both pixel-based and object-oriented methods were used to evaluate the effects of shadow detection on QuickBird image classification and spectroradiometric restoration. In each method, shadows were detected and separated either with or without histogram thresholding, and subsequently corrected with a
【 授权许可】
CC BY
© 2013 by the authors; licensee MDPI, Basel, Switzerland
【 预 览 】
Files | Size | Format | View |
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RO202003190033243ZK.pdf | 1476KB | download |