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pro vyhledávání: '"Shahab Jozdani"'
Autor:
Shahab Jozdani, Dongmei Chen, Wenjun Chen, Sylvain G. Leblanc, Julie Lovitt, Liming He, Robert H. Fraser, Brian Alan Johnson
Publikováno v:
Remote Sensing, Vol 13, Iss 24, p 5035 (2021)
Illumination variations in non-atmospherically corrected high-resolution satellite (HRS) images acquired at different dates/times/locations pose a major challenge for large-area environmental mapping and monitoring. This problem is exacerbated in cas
Externí odkaz:
https://doaj.org/article/be0d970c11b44d03b72c6716a071eb73
Autor:
Shahab Jozdani, Dongmei Chen, Wenjun Chen, Sylvain G. Leblanc, Christian Prévost, Julie Lovitt, Liming He, Brian A. Johnson
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2658 (2021)
Lichen is an important food source for caribou in Canada. Lichen mapping using remote sensing (RS) images could be a challenging task, however, as lichens generally appear in unevenly distributed, small patches, and could resemble surficial features.
Externí odkaz:
https://doaj.org/article/ecf5100189f945cdadf87f57afce481c
Autor:
Dongmei Chen, Shahab Jozdani
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 160:275-290
Geographic Object-Based Image Analysis (GEOBIA) is a popular classification approach for high spatial resolution (HSR) images in the remote sensing (RS) community. It has been extensively reported that the final classification accuracy of GEOBIA is h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b2c02b432127042060bb0ec3fd8a84f
https://doi.org/10.1016/j.isprsjprs.2020.01.002
https://doi.org/10.1016/j.isprsjprs.2020.01.002