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Comparison of two object-oriented technologies for detecting land use change
Luo, Kaisheng1,2; Moiw, Juana P.3
2021-01-06
摘要This study compared two object-oriented land use change detection methods, namely detection after classification (DAC) and classification after detection (CAD) using digital elevation model, slope data, multi-temporal Thematic Mapper (TM) images in 2000 and Enhanced TM Plus images (ETM+) in 2010. Results revealed that the accuracy of the former was higher than that of the latter. A minimal discrepancy was observed in the accuracies of the two methods in detecting deciduous broad-leaved, evergreen coniferous and mixed forests; uplands; paddies; bare lands and human habitation, which can be extracted using spectral indices due to large spectrum differences. The accuracy of DAC was higher than that of CAD for areas with similar spectra, such as industrial and traffic lands, green shrubs, rivers, channels, reservoirs/pools and lake, because the former can fully utilise various information, including spectral, spatial, structural, textural and contextual information, during the two-stage classification. Moreover, the change area boundary was not limited and adjustable during the classification process. DAC can overcome the smoothing effect to a great extent using multi-scale segmentations and multiple indicators for detection. Although DAC can yield better results than CAD can, the former was more time-consuming than the latter because of its two-stage classification. Therefore, the hybrid of the two methods could be the appropriate approach.
关键词Object-oriented technique Change detection Land use Landsat imagery
DOI10.1007/s12517-020-06307-5
发表期刊ARABIAN JOURNAL OF GEOSCIENCES
ISSN1866-7511
卷号14期号:1页码:11
通讯作者Luo, Kaisheng(993814987@qq.com)
收录类别SCI
WOS记录号WOS:000608041800019
语种英语