Mapping urban impervious surfaces from an airborne hyperspectral imagery using the object-oriented classification approach

Publisher： Edp Sciences

E-ISSN： 2261-236x|120|issue|09003-09003

ISSN： 2261-236x

Source： MATEC Web of conference, Vol.120, Iss.issue, 2017-08, pp. : 09003-09003

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