干旱区生态环境知识资源中心(Arid): A NEW CLASSIFICATION METHOD FOR SEMI-ARID REGIONS BASED ON SAR AND LIDAR DATA FUSION

Arid

	A NEW CLASSIFICATION METHOD FOR SEMI-ARID REGIONS BASED ON SAR AND LIDAR DATA FUSION
	Iervolino, Pasquale; Coppola, Alessandro; Guida, Raffaella; Riccio, Daniele
通讯作者	Iervolino, P (corresponding author), Univ Surrey, Surrey Space Ctr, Guildford, Surrey, England.
会议名称	IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议日期	JUL 28-AUG 02, 2019
会议地点	Yokohama, JAPAN
英文摘要	This paper aims at developing a new enhanced algorithm for mapping semi-arid areas based on fusion techniques of Synthetic Aperture Radar (SAR) and Light Detection And Ranging (LIDAR) datasets. Firstly, both datasets are preprocessed to remove geometric and radiometric errors; then features of interest are extracted from SAR and LiDAR products to build masks and identify meaningful classes. Finally, classification results are refined with morphological filters. The new algorithm has been tested on data acquired by TerraSAR-X and an airborne LiDAR sensor over the Natural Reserve of Maspalomas in Canary Islands. Results show an overall classification accuracy of 85% with an absolute increment of more than 14% compared to a classification in which only LiDAR data are used.
英文关键词	SAR LiDAR land classification SAR texture Gray Level Co-occurrence Matrix
来源出版物	2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)
ISSN	2153-6996
出版年	2019
页码	708-711
ISBN	978-1-5386-9154-0
出版者	IEEE
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000519270600164
WOS类目	Geosciences, Multidisciplinary ; Remote Sensing
WOS研究方向	Geology ; Remote Sensing
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/370097
作者单位	[Iervolino, Pasquale; Guida, Raffaella] Univ Surrey, Surrey Space Ctr, Guildford, Surrey, England; [Coppola, Alessandro; Riccio, Daniele] Univ Napoli Federico II, Dept Elect Engn & Informat Technol, Naples, Italy
推荐引用方式 GB/T 7714	Iervolino, Pasquale,Coppola, Alessandro,Guida, Raffaella,et al. A NEW CLASSIFICATION METHOD FOR SEMI-ARID REGIONS BASED ON SAR AND LIDAR DATA FUSION[C]:IEEE,2019:708-711.