基于空间-光谱分析的高光谱遥感影像稀疏解混研究
混合像元分解能在亚像素级别上定量化地了解地物的光谱信息和含量信息(丰度),是高光谱影像分析中的关键问题之一.由于影像场景复杂、同谱异物和同物异谱(端元可变性)现象普遍存在、光谱库端元数目远大于像元中含有的端元数目,再加上影像噪音的干扰,影像解混精度还亟待提高....
        Saved in:
      
    
          | Published in | Ce hui xue bao Vol. 46; no. 8; p. 1072 | 
|---|---|
| Main Author | |
| Format | Journal Article | 
| Language | Chinese English  | 
| Published | 
        Beijing
          Surveying and Mapping Press
    
        01.08.2017
     东华理工大学江西省数字国土重点实验室,江西 南昌 330013 东华理工大学测绘工程学院,江西 南昌 330013  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1001-1595 1001-1595  | 
| DOI | 10.11947/j.AGCS.2017.20170167 | 
Cover
| Summary: | 混合像元分解能在亚像素级别上定量化地了解地物的光谱信息和含量信息(丰度),是高光谱影像分析中的关键问题之一.由于影像场景复杂、同谱异物和同物异谱(端元可变性)现象普遍存在、光谱库端元数目远大于像元中含有的端元数目,再加上影像噪音的干扰,影像解混精度还亟待提高. | 
|---|---|
| Bibliography: | WANG Yuqian(1. School of Geomatics,East China University of Technology, Nanchang 330013,China; 2. Key Laboratory for Digital Land and Resources of Jangxi Province, East China University of Technology, Nanchang 330013, China) 11-2089/P ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14  | 
| ISSN: | 1001-1595 1001-1595  | 
| DOI: | 10.11947/j.AGCS.2017.20170167 |