一种多级再分类技术耕地提取方法
发布时间：2018-07-17 15:06
【摘要】：鉴于土地利用中耕地类型的遥感光谱特征差异大,以及我国北方农牧交错带中撂荒地、耕地、裸地和草地混淆严重,耕地信息的获取难度大、精度低,提出了利用长时间序列遥感数据,通过多级再分类技术方法(multilevel reclassification,MLRC)提取可耕种区域。首先利用最大似然法对长时间序列的多期遥感数据进行监督分类,提取出耕地区域,之后在初级分类的基础上,通过统计不同区域在多期分类结果中被判定为耕地的次数进而确定可耕作区域的范围。通过对闪电河湿地实验区的研究表明,利用MLRC方法的精度达到了82.56%。
[Abstract]:In view of the great difference in remote sensing spectral characteristics of cultivated land types in land use, and the abandoned land in the agricultural and pastoral ecotone of northern China, the confusion between cultivated land, bare land and grassland is serious, the acquisition of cultivated land information is difficult and the precision is low. In this paper, using long time series remote sensing data, the arable area is extracted by multilevel reclassification technique (MLRC). Firstly, the maximum likelihood method is used to monitor and classify the multi-period remote sensing data of long time series, and then the cultivated land area is extracted, and then on the basis of primary classification, The range of arable areas was determined by counting the number of times that different regions were identified as cultivated land in the results of multi-period classification. The study on the experimental area of Lightning River Wetland shows that the accuracy of MLRC method is 82.56.
【作者单位】： 北京师范大学地理科学学部;北京师范大学全球变化与地球系统科学研究院;河北农业大学林学院;
【基金】：河北省科学技术厅项目(14274203D)
【分类号】：S127
，
本文编号：2130038
[Abstract]:In view of the great difference in remote sensing spectral characteristics of cultivated land types in land use, and the abandoned land in the agricultural and pastoral ecotone of northern China, the confusion between cultivated land, bare land and grassland is serious, the acquisition of cultivated land information is difficult and the precision is low. In this paper, using long time series remote sensing data, the arable area is extracted by multilevel reclassification technique (MLRC). Firstly, the maximum likelihood method is used to monitor and classify the multi-period remote sensing data of long time series, and then the cultivated land area is extracted, and then on the basis of primary classification, The range of arable areas was determined by counting the number of times that different regions were identified as cultivated land in the results of multi-period classification. The study on the experimental area of Lightning River Wetland shows that the accuracy of MLRC method is 82.56.
【作者单位】： 北京师范大学地理科学学部;北京师范大学全球变化与地球系统科学研究院;河北农业大学林学院;
【基金】：河北省科学技术厅项目(14274203D)
【分类号】：S127
，
本文编号：2130038
本文链接：https://www.wllwen.com/kejilunwen/nykj/2130038.html
