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Review Article Digital change detection techniques using remotely-sensed data
Open accessAbstract
A variety of procedures for change detection based on comparison of multitemporal digital remote sensing data have been developed. An evaluation of results indicates that various procedures of change detection produce different maps of change even in the same environment.
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Citations
Cited by
End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++
Peng, D., Zhang, Y., & Guan, H. (2019) · Remote Sensing · doi:10.3390/rs11111382 · Cited by 804
Miller, J. D., Safford, H. D., Crimmins, M., & Thode, A. E. (2009) · Ecosystems · doi:10.1007/s10021-008-9201-9 · Cited by 747
Nielsen, A. A. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.888195 · Cited by 746
A comprehensive change detection method for updating the National Land Cover Database to circa 2011
Jin, S., Yang, L., Danielson, P., Homer, C., Fry, J., & Xian, G. (2013) · Remote Sensing of Environment · doi:10.1016/j.rse.2013.01.012 · Cited by 699
Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images
Saha, S., Bovolo, F., & Bruzzone, L. (2019) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2018.2886643 · Cited by 523
Metadata
- Authors
- SINGH, A.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 1989-06
- Volume
- 10
- Issue
- 6
- Pages
- 989-1003
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W2036798369
- Cited by
- 3,849
- References
- 0
- FWCI
- 11.55
- Type
- journal article
- Language
- en
- Open access
- bronze
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- SINGH, A. (1989). Review Article Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing. https://doi.org/10.1080/01431168908903939
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
