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遥感技术与应用  2010, Vol. 25 Issue (2): 240-244    DOI: 10.11873/j.issn.1004-0323.2010.2.240
研究与应用     
基于尺度转换提高MODIS影像耕地解译精度的研究—以苏北平原为例

李占胜,潘剑君
南京农业大学资源与环境科学学院,江苏 南京 210095
The Cultivated Land Extraction from MODIS Image Based on Scale Advance——A Case Study of Northern of Jiangsu Province
LI Zhan-sheng,PAN Jian-jun
College of Resource and Environmental Science,Nanjing Agricultural University,Nanjing 210095,China
 全文: PDF(717 KB)  
摘要:

耕地面积的提取具有重要的现实和研究意义。提出一种基于多层尺度转换的方法,获得尺度之间的精度系数,以提高大尺度遥感影像耕地面积解译的精度。以苏北平原为例,利用该方法,以MODIS和中巴资源卫星(CBERS)影像为数据,以抽样统计的方法计算了3种尺度之间的耕地面积之间的系数,逐层推进,最终得出大尺度影像MODIS与地面真实耕地面积的统计系数,修正MODIS影像的解译面积。结果表明:该方法具有良好的操作性,显著提高MODIS影像耕地面积的提取精度,可以运用于大区域耕地面积的提取。

关键词: 耕地面积尺度推进 MODIS CBERS    
Abstract:

The extraction of cultivated area has great practical and research significance.In this paper,a method of the scale transformation to extract farmland by using different pixel size satellite remote images is presented.Take the northern of Jiangsu plain for example,the proportion coefficient between the cultivated area in three scales,which is MODIS(250 m) image,CCD(19.5 m)and HR (2.36 m) of CBERS-02B,that is computed by sampling statistics method to increase the area accuracy.The coefficient of sample areas in this paper between MODIS images and truly area is 41.7%.At last the farmland area of MODIS image is calculated in this method and compared with the normal result.The experimental result indicated that this method has the good operationality and raise the accuracy,that may carry on the large range cultivated area the extraction.

Key words:  Cultivated area    Scale advances    MODIS    CBERS
收稿日期: 2009-09-28 出版日期: 2010-10-19
基金资助:

国家自然科学基金项目(国际合作)(40710019002)“中国水稻土固碳容量及其机理的研究——多尺度统计和地下部微观过程”。

作者简介: 李占胜(1985-),男,硕士研究生,主要研究方向遥感图像处理与尺度转换。E-mail:2007103102@njau.edu.cn。
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引用本文:

李占胜, 潘剑君. 基于尺度转换提高MODIS影像耕地解译精度的研究—以苏北平原为例[J]. 遥感技术与应用, 2010, 25(2): 240-244.

LI Zhan-sheng, PAN Jian-jun. The Cultivated Land Extraction from MODIS Image Based on Scale Advance——A Case Study of Northern of Jiangsu Province. Remote Sensing Technology and Application, 2010, 25(2): 240-244.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2010.2.240        http://www.rsta.ac.cn/CN/Y2010/V25/I2/240

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