国土资源遥感
國土資源遙感
국토자원요감
REMOTE SENSING FOR LAND & RESOURCES
2014年
3期
1-7
,共7页
高光谱图像%异常目标检测%核函数%支持向量数据描述
高光譜圖像%異常目標檢測%覈函數%支持嚮量數據描述
고광보도상%이상목표검측%핵함수%지지향량수거묘술
hyperspectral image%anomaly target detection%kernel function%support vector data description (SVDD)
高光谱图像是一种新型的具有“图谱合一冶特性的遥感图像，其连续的光谱曲线可更好地表达地表物质间的细微差异，在地表物质的分类、解混和目标探测等方面得到了广泛应用。随着高光谱遥感技术的深入发展，对不需要先验信息的异常目标检测的研究成为最活跃的方向之一，许多研究者提出了具有较好效果的异常检测算法。基于对国内外已有算法的综合归纳和分析，系统地论述了高光谱异常检测的研究现状和最新进展。阐述了高光谱异常目标检测的实质和基本理论；从算法思想、关键技术和优缺点等方面重点分析总结了较有代表性的异常目标检测算法，并对其进行了概括和阐述；最后对异常检测算法的未来研究方向进行了展望，力图为高光谱异常目标检测算法研究找到新的突破点。
高光譜圖像是一種新型的具有“圖譜閤一冶特性的遙感圖像，其連續的光譜麯線可更好地錶達地錶物質間的細微差異，在地錶物質的分類、解混和目標探測等方麵得到瞭廣汎應用。隨著高光譜遙感技術的深入髮展，對不需要先驗信息的異常目標檢測的研究成為最活躍的方嚮之一，許多研究者提齣瞭具有較好效果的異常檢測算法。基于對國內外已有算法的綜閤歸納和分析，繫統地論述瞭高光譜異常檢測的研究現狀和最新進展。闡述瞭高光譜異常目標檢測的實質和基本理論；從算法思想、關鍵技術和優缺點等方麵重點分析總結瞭較有代錶性的異常目標檢測算法，併對其進行瞭概括和闡述；最後對異常檢測算法的未來研究方嚮進行瞭展望，力圖為高光譜異常目標檢測算法研究找到新的突破點。
고광보도상시일충신형적구유“도보합일야특성적요감도상，기련속적광보곡선가경호지표체지표물질간적세미차이，재지표물질적분류、해혼화목표탐측등방면득도료엄범응용。수착고광보요감기술적심입발전，대불수요선험신식적이상목표검측적연구성위최활약적방향지일，허다연구자제출료구유교호효과적이상검측산법。기우대국내외이유산법적종합귀납화분석，계통지논술료고광보이상검측적연구현상화최신진전。천술료고광보이상목표검측적실질화기본이론；종산법사상、관건기술화우결점등방면중점분석총결료교유대표성적이상목표검측산법，병대기진행료개괄화천술；최후대이상검측산법적미래연구방향진행료전망，력도위고광보이상목표검측산법연구조도신적돌파점。
Hyperspectral image is a new kind of remote sensing images with the feature of“combining mapping and spectra into one”,thus better expressing the subtle differences on the surface of the material through the continuous spectral curve. Hyperspectral images have a wide range of applications in such aspects as classification,unmixing and target detection. With the continuous development of hyperspectral remote sensing technology,anomaly target detection has become one of the most active direction of research because it doesn't need a priori information. Many anomaly target detection algorithms have been proposed. Based on data available both in China and abroad, this paper summarized the research situation and new progress in anomaly detection algorithms. The author first expounded the essence of hyperspectral anomaly target detection and used the basic theory and then analyzed and summed up some representative anomaly detection algorithms in such aspects as the ideas of algorithm, key technology,advantages and disadvantages. On such a basis, the author summarized and described the evaluation method of anomaly detection and discussed the future development trend of anomaly target detection algorithm, with the purpose of finding new breakthroughs in the study of the algorithm of hyperspectral anomaly target detection.
