Leveraging autoencoders in change vector analysis of optical satellite images
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent Information Systems"
DOI: 10.1007/s10844-021-00670-9
Abstract: Various applications in remote sensing demand automatic detection of changes in optical satellite images of the same scene acquired over time. This paper investigates how to leverage autoencoders in change vector analysis, in order to… read more here.
Keywords: autoencoders change; satellite images; optical satellite; vector analysis ... See more keywords
An improved change detection approach using tri-temporal logic-verified change vector analysis
Sign Up to like & getrecommendations! Published in 2020 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2020.01.026
Abstract: Abstract Change vector analysis (CVA) is an effective and widely used unsupervised change detection algorithm in remote sensing. It separates changed pixels from unchanged pixels by binarizing bi-temporal difference image. However, the results and performance… read more here.
Keywords: change; change detection; approach; vector analysis ... See more keywords
Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2018.2886643
Abstract: Change detection (CD) in multitemporal images is an important application of remote sensing. Recent technological evolution provided very high spatial resolution (VHR) multitemporal optical satellite images showing high spatial correlation among pixels and requiring an… read more here.
Keywords: change; change vector; change detection; vector analysis ... See more keywords