A Novel Approach to Unsupervised Segmentation of Multitemporal VHR Images based on Deep Learning

Titel:: A Novel Approach to Unsupervised Segmentation of Multitemporal VHR Images based on Deep Learning
Dokumenttyp:: Konferenzbeitrag
Autor(en):: Saha, Sudipan; Mou, Lichao; Qiu, Chunping; Zhu, Xiao Xiang; Bovolo, Francesca; Bruzzone, Lorenzo
Kongress- / Buchtitel:: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
Verlag / Institution:: IEEE
Publikationsdatum:: 26.09.2020
Jahr:: 2020
Print-ISBN:: 9781728163741
Volltext / DOI:: doi:10.1109/igarss39084.2020.9324651
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