Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1109/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 |
EISBN | 978-0-7695-5093-0 |
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 |
推荐引用方式 GB/T 7714 | Kemmouche, Akila,Atmani, Nassim. Classification of dayas formations on Landsat TM imagery using morphological profiles[C]:IEEE,2013:471-475. |
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