Urban land-use classification by combining high-resolution optical and long-wave infrared images

Urban land-use classification by combining high-resolution optical and long-wave infrared images

Multi-sensor and multi-resolution source images consisting of optical and long-wave infrared (LWIR) images are analyzed separately and then combined for urban mapping in this study. The framework of its methodology is based on a two-level classification approach. In the first level, contributions of...

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Bibliographic Details
Main Authors:	Xuehua Guan, Shuai Liao, Jie Bai, Fei Wang, Zhixin Li, Qiang Wen, Jianjun He, Ting Chen
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2017-10-01
Series:	Geo-spatial Information Science
Subjects:	Very high-resolution image long-wave infrared image combined imagery multi-source data fusion urban mapping classification
Online Access:	http://dx.doi.org/10.1080/10095020.2017.1403731

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