基于红边位置变化特征的油菜种植区域提取
油菜种植区域的准确提取是进行长势监测、估产和灾情评估的前提,遥感手段已成为作物种植区域提取与监测的高效方法,而高光谱遥感具有波段多、波谱分辨率高、信息丰富等特点,因而提供了一种新的技术手段。为了探究高光谱遥感在作物识别与提取中的优势,该文基于2004年4月4日和5月6日2期EO-1Hyperion影像,依据油菜盛花期到荚果期红边位置"蓝移"特征,区别于其他植被,实现了油菜种植区域的高光谱遥感提取。采用随机点验证方法对提取结果进行验证,总体精度为92.6%,Kappa系数为0.803,漏分和错分误差均处在合理的范围之内。该方法充分利用了高光谱遥感手段可提取植被红边参数的优势,且算法对地物光谱差异...
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          | Published in | 农业工程学报 Vol. 29; no. 15; pp. 145 - 152 | 
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| Main Author | |
| Format | Journal Article | 
| Language | Chinese | 
| Published | 
            浙江大学农业遥感与信息技术应用研究所,杭州,310058
    
        2013
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 1002-6819 | 
| DOI | 10.3969/j.issn.1002-6819.2013.15.018 | 
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| Summary: | 油菜种植区域的准确提取是进行长势监测、估产和灾情评估的前提,遥感手段已成为作物种植区域提取与监测的高效方法,而高光谱遥感具有波段多、波谱分辨率高、信息丰富等特点,因而提供了一种新的技术手段。为了探究高光谱遥感在作物识别与提取中的优势,该文基于2004年4月4日和5月6日2期EO-1Hyperion影像,依据油菜盛花期到荚果期红边位置"蓝移"特征,区别于其他植被,实现了油菜种植区域的高光谱遥感提取。采用随机点验证方法对提取结果进行验证,总体精度为92.6%,Kappa系数为0.803,漏分和错分误差均处在合理的范围之内。该方法充分利用了高光谱遥感手段可提取植被红边参数的优势,且算法对地物光谱差异性不敏感,为油菜种植区域遥感提取提供了一套全新的思路与解决方案。 | 
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| Bibliography: | 11-2047/S She Bao, Huang Jingfeng , Shi Jingjing, Wei Chuanwen (Institute of Agricultural Remote Sensing and Information Technology Application, Zhejiang University, Hangzhou 310058, China) remote sensing; decision tree; hyperspectral; red edge position; Hyperion; growing regions; oilseed rape The accurate extraction of oilseed rape growing regions is the premise of growth monitoring, yield estimation and disaster assessment, and remote sensing has been proved to be an effective way for this task. Hyperspectral remote sensing has the features of many more bands, higher spectral resolution, being rich in information and so on, which provides new technical means for extracting oilseed rape growing regions. Changxing, the county with the largest oilseed rape cultivated area in Zhejiang Province was selected to be the study area in this paper, and two EO-1 Hyperion images acquired on April 4th and May 6th , 2004 were adopted, corresponding to the full-bloom stage and pod stage respectively for oilseed rape growing i  | 
| ISSN: | 1002-6819 | 
| DOI: | 10.3969/j.issn.1002-6819.2013.15.018 |