[1]Asner G P,Heidebrecht K B.Spectral Unmixing of Vegetation,Soil and Dry Carbon Cover in Arid Regions:Comparing Multispectral and Hyperspectral Observations[J].International Journal of Remote Sensing,2002,(19):3939-3958.
[2]Zhang Dongyan,Liu Rongyuan.A Field-based Pushbroom Im-aging Spectrometer for Estimating Chlorophyll Content of Maize[J].Spectroscopy and Spectral Analysis,2011,(3):771-775.[张东彦,刘镕源.应用近地成像高光谱估算玉米叶绿素含量[J].光谱学与光谱分析,2011,(3):771-775.]
[3]Wang Lei,Bai Youlu,Lu Yanli,et al.Effect on Retrieval Precision for Corn N Content by Spectrum Data Transformation[J].Remote Sensing Technology and Application,2011,26(2):220-225.[王磊,白由路,卢艳丽,等.光谱数据变换对玉米氮素含量反演精度的影响[J].遥感技术与应用,2011,26(2):220-225.]
[4]Gitelson A A,Gritz U,Merzlyak M N.Relationships between Leaf Chlorophyll Content and Spectral Reflectance Algorithms for Non-destructive Chlorophyll Assessment in Higher Plant Leaves[J].Journal of Plant Physiology,2003,160:271-282.
[5]Chen Junying,Tian Qingjiu.Rice Canopy Biochemical Concentration Retrievals based on Hyperion Data[J].Journal of Remote Sensing,2009,(6):1106-1121.[陈君颖,田庆久.基于Hyperion影像的水稻冠层生化参量反演[J].遥感学报,2009,(6):1106-1121.]
[6]Yan Chunyan,Liu Qiang.Model Analysis and Validation by Using Airborne Hyperspectral Remote Sensing Data to Extract Winter Wheat Canopy Chlorophyll Content[J].Remote Sensing Information,2009,(5):8-14.[颜春燕,刘强.机载高光谱数据提取冬小麦冠层叶绿素含量的模型分析及验证[J].遥感信息,2009,(5):8-14.]
[7]Yang Xiguang,Fan Wenyi.Leaf Chlorophyll Content Retrieval from Hyperspectral Remote Sensing Images[J].Journal of Northest Forestry University,2010,(6):123-124.[杨曦光,范文义.基于Hyperion数据的森林叶绿素含量反演[J].东北林业大学学报,2010,(6):123-124.]
[8]〖JP2〗Qu Yonghua,Liu Suhong.Study and Design on Spectral Database System of Typical Objects in China(SpeLib)[J].Remote Sensing Information,2004,(2):5-8.[屈永华,刘素红.中国典型地物波谱数据库的研究与设计[J].遥感信息,2004,(2):5-8.]
[9]Su Lihong,Li Xiaowen.Some Problems in Constructing The Ground Object Spectral Knowledge Base and Its Services[J].Advance in Earth Sciences,2003,(2):185-191.[苏理宏,李小文.典型地物波谱知识库建库与波谱服务的若干问题[J].地球科学进展,2003,(2):185-191.]
[10]Hyperion Level 1GST Product Output Files Data Format Control Book(DFCB)[J].Department of the Interior U.S.Geological Survey,2006.
[11]Han T,Goodenough D G.Detection and Correction of Abnormal Pixels in Hyperion Images[J].Geoscience and Remote Sensing Symposium,2002,(7):1327-1330.
[12]Guo Xingjie,Wang Yangchun.A Strip Noise Removal Method of Hyperspectral Data HJ-1A[J].Remote Sensing Information,2011,(1):54-58.[郭兴杰,王阳春.HJ-1A高光谱数据的条带噪声去除方法研究[J].遥感信息,2011,(1):54-58.]
[13]Goodenough D G.Processing Hyperion and ALI for Forest Classification[J].IEEE Transactions on Geoscience and Remote Sensing,2003,(6):1321-1331.
[14]Tan Bingxiang,Li Zengyuan.Preprocessing of EO-1 Hyperion Hyperspectral Data[J].Remote Sensing Information,2005,(3):36-41.[谭炳香,李增元.EO-1 Hyperion高光谱数据的预处理[J].遥感信息,2005,(3):36-41.]
[15]Wang Zhenghai,Duan Jianjun,Geng Xin.Comparative Study on Atmospheric Correction Methads of Hyperion Data based on Spectral Matching[J].Remote Sensing Technology and Application,2011,26(4):432-436.[王正海,段建军,耿欣.基于波谱匹配的Hyperion数据大气校正方法对比研究[J].遥感技术与应用,2011,26(4):432-436.]
[16]Xu B,Gong P.Land-use/Land-cover Classification with Multispectral and Hyperspectral EO-1 Data[J].Photogrammetric Engineering&Remote Sensing,2007,(8):955-965.
[17]Wang Zhenghai,Zhang Hongjun.A Classification Model for Remote Sensing Images based on SAM and Decision Tree[J].Journal of Wuhan University of Science and Technology(Natural Science Edition),2006,(5):478-481.[王正海,张红军.SAM和决策树结合的Hyperion数据分类方法[J].武汉科技大学学报:自然科学版,2006,(5):478-481.]
[18]Kruse F A.Comparison of Airborne Hyperspectral Data and EO-1 Hyperion for Mineral Mapping[J].Geoscience and Remote Sensing,2003,(6):1388-1400. |