Remote Sensing | |
Multi-Level Spatial Analysis for Change Detection of Urban Vegetation at Individual Tree Scale | |
Jianhua Zhou1  Bailang Yu1  | |
[1] Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, |
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关键词: downtown area; vegetation cover; change detection; spatial dependency; | |
DOI : 10.3390/rs6099086 | |
来源: mdpi | |
【 摘 要 】
Spurious change is a common problem in urban vegetation change detection by using multi-temporal remote sensing images of high resolution. This usually results from the false-absent and false-present vegetation patches in an obscured and/or shaded scene. The presented approach focuses on object-based change detection with joint use of spatial and spectral information, referring to it as multi-level spatial analyses. The analyses are conducted in three phases: (1) The pixel-level spatial analysis is performed by adding the
【 授权许可】
CC BY
© 2014 by the authors; licensee MDPI, Basel, Switzerland
【 预 览 】
Files | Size | Format | View |
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RO202003190021742ZK.pdf | 7583KB | download |