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

作者：Xuehua Guan,Shuai Liao,Jie Bai,Fei Wang,Zhixin Li,Qiang Wen,Jianjun He,Ting Chen

摘要：Multi-sensor and multi-resolution source images consisting of optical and long-wave infrared (LWlR) 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 these two data sources in urban mapping are examined extensively by four types of classifications,i.e.spectral-based,spectral-spatial-based,joint classification,and multiple feature classification.In the second level,an objected-based approach is applied to decline the boundaries.The specificity of our proposed framework not only lies in the combination of two different images,but also the exploration of the LWlR image as one complementary spectral information for urban mapping.To verify the effectiveness of the presented classification framework and to confirm the LWlR's complementary role in the urban mapping task,experiment results are evaluated by the grss_dfc_2014 data-set.

发文机构：Twenty First Century Aerospace Technology Co.Ltd Beijing Remote Sensing Information Institute China TOPRS Technology Co.Ltd Chinese Academy of Surveying and Mapping Lyles School of Civil Engineering

关键词：VeryHIGH-RESOLUTIONIMAGELONG-WAVEinfraredIMAGEcombinedIMAGERYmultisourcedatafusionURBANmappingCLASSIFICATIONVery high-resolution imagelong-wave infrared imagecombined imagerymultisource data fusionurban mappingclassification

分类号： R73[医药卫生—肿瘤][医药卫生—临床医学]