Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Siamak Talebi Nahr"'
Publikováno v:
The Photogrammetric Record. 36:402-424
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da58ea5c367682b27c4c756384c2fdc0
https://doi.org/10.1111/phor.12394
https://doi.org/10.1111/phor.12394
Publikováno v:
Journal of the Indian Society of Remote Sensing. 45:11-23
Currently, hyperspectral images have potential applications in many scientific areas due to the high spectral resolution. Extracting suitable and adequate bands/features from high dimensional data is a crucial task to classify such data. To overcome
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0080c1206ec6d1a18eee30fa0491986
https://doi.org/10.1007/s12524-016-0577-2
https://doi.org/10.1007/s12524-016-0577-2
Publikováno v:
International Journal of Remote Sensing. 36:3587-3615
In this article, a new fuzzy rough set FRS method was proposed for extracting rules from an adaptive neuro-fuzzy inference system ANFIS-based classification procedure in order to select the optimum features. The proposed methodology was used to class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d843b3711b231bc54791d6dead3b72e4
https://doi.org/10.1080/01431161.2015.1066524
https://doi.org/10.1080/01431161.2015.1066524
Publikováno v:
Journal of the Indian Society of Remote Sensing. 43:787-799
As adaptive neuro-fuzzy inference systems (ANFISs) have shown a high capability in solving various complicated problems, their usage have been increased so far. ANFISs are able to deal with large amounts of data with linear or nonlinear relations. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b8592f3fabd7eca53b49c49dec61f6d
https://doi.org/10.1007/s12524-015-0457-1
https://doi.org/10.1007/s12524-015-0457-1