Arid
DOI10.1109/BWCCA.2013.82
Classification of dayas formations on Landsat TM imagery using morphological profiles
Kemmouche, Akila; Atmani, Nassim
通讯作者Kemmouche, Akila
会议名称8th IEEE International Conference on Broadband, Wireless Computing, Communication and Applications (BWCCA)
会议日期OCT 28-30, 2013
会议地点Compiegne, FRANCE
英文摘要

The semi-arid southern piedmont plain in the Algerian Saharan region is characterized by dayas, i.e. small semi-circular depressions colonized by vegetation. These dayas show specific morphological variations and vegetation characteristics. A correlation was noted between their morphology, vegetation cover and stage of development. Thus, it is of interest to develop an approach for combining the vegetation and shape criteria within a feature vector of each pixel to map the dayas. Vegetation and geometrical properties concerning these day a structures, as determined from remote sensing data, were used in this work to perform chronological classification of all dayas in this region. The differential morphological profile and pattern recognition parameters are used for extraction and classification of the dayas formation on Land sat Thematic Mapper imagery. Each class corresponds to a specific morphological and vegetation evolution stage.


英文关键词Differential morphological profile image analysis mathematical morphology remote sensing semi-arid area
来源出版物2013 EIGHTH INTERNATIONAL CONFERENCE ON BROADBAND, WIRELESS COMPUTING, COMMUNICATION AND APPLICATIONS (BWCCA 2013)
出版年2013
页码471-475
EISBN978-0-7695-5093-0
出版者IEEE
类型Proceedings Paper
语种英语
国家Algeria
收录类别CPCI-S
WOS记录号WOS:000331174400076
WOS关键词VEGETATION ; AREAS
WOS类目Computer Science, Hardware & Architecture ; Engineering, Electrical & Electronic ; Telecommunications
WOS研究方向Computer Science ; Engineering ; Telecommunications
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/302135
作者单位Univ Sci & Technol Houari Boumediene USTHB Algier, Dept Telecommun, Fac Elect & Comp, Algiers, Algeria
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Kemmouche, Akila,Atmani, Nassim. Classification of dayas formations on Landsat TM imagery using morphological profiles[C]:IEEE,2013:471-475.
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