首页|高光谱遥感植被图谱信息提取研究进展

高光谱遥感植被图谱信息提取研究进展

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高光谱遥感在植被健康检测、植被群落分类以及精准农业等领域得到了广泛的运用,同时,高光谱遥感还能够利用精细的光谱信息来识别物质成分,使植被分类等工作更加精细和准确.高光谱遥感数据的图谱信息具备信息容量大和图谱一体化特点,能够通过连续窄波段获取地表地物信息,并记录植被等地物的光谱信息,同时也记录地物的图形信息.然而,由于数据量庞大且存在冗余,所以高光谱遥感在植被图谱信息提取方面仍面临巨大挑战,本文研究了国内外学者在高光谱植被图谱研究中的重要贡献,分析了高光谱的图谱特征、植被图谱信息提取方法并展开讨论,高光谱技术不仅能提供丰富的植被图谱信息,在其他领域研究中也具有巨大应用潜力.
Progress on Information Extraction of Hyperspectral Remote Sensing Vegetation Map
Hyperspectral remote sensing has been widely used in the field of vegetation health detection,vegetation community classifica-tion and precision agriculture.At the same time,hyperspectral remote sensing can also use fine spectral information to identify material components,so that vegetation classification and other work are more refined and accurate.The spectral information of hyperspectral re-mote sensing data has the characteristics of large information capacity and spectrum integration.It can obtain the ground ground informa-tion through continuous narrow band,and record the spectral information of vegetation and other ground objects,as well as the graphical information of ground objects.However,due to the large amount of redundant data,hyperspectral remote sensing still faces great challen-ges in vegetation map information extraction.

hyperspectral remote sensingvegetation mapping informationresearch progressextraction method

邓守奇、李晓强、梁立恒、董炜华、程彬、马友利、韦森超

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长春师范大学地理科学学院,吉林 长春 130032

长春市文理高中,吉林 长春 130062

高光谱遥感 植被图谱信息 研究进展 提取方法

吉林省自然科学基金吉林省教育厅"十四五"科学技术研究项目长春师范大学自然科学基金

YDZJ202201ZYTS563JJKH20220831KJCSJJ2022008ZK

2024

长春师范大学学报
长春师范学院

长春师范大学学报

CHSSCD
影响因子:0.312
ISSN:1008-178X
年,卷(期):2024.43(2)
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