| 基于遥感影像处理的土地动态变化监测 |
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| 引用本文： | 胡贝. 基于遥感影像处理的土地动态变化监测[J]. 北京测绘, 2021, 35(1): 70-73. DOI: 10.19580/j.cnki.1007-3000.2021.01.015 |
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| 作者姓名： | 胡贝 |
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| 作者单位： | 中南勘察设计院集团有限公司,湖北武汉430074 |
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| 基金项目： | 江西省科技支撑项目(20161BBG70079);江西省数字国土重点实验室开放研究基金(DLLJ201605)。 |
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| 摘 要： | 综合利用遥感、数字图像处理、地理信息系统等技术,采用基于亮度指数和垂直植被指数的变化向量矢量分析的直接变化监测方法,通过对原数据进行直方图调整,对2010年与2018年的TM影像相应波段数据进行概率分布匹配,使之具有相同的概率分布,并使其均值、标准差也基本一致;然后对这两幅不同时相的影像数据进行图像间的空间匹配,计算提...
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| 关 键 词： | 土地利用 亮度指数 垂直植被指数 动态变化监测 |
Land Dynamic Change Monitoring Based on Remote Sensing Image Processing |
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| HU Bei. Land Dynamic Change Monitoring Based on Remote Sensing Image Processing[J]. Beijing Surveying and Mapping, 2021, 35(1): 70-73. DOI: 10.19580/j.cnki.1007-3000.2021.01.015 |
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| Authors: | HU Bei |
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| Affiliation: | 430074,China) |
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| Abstract: | Comprehensive using of remote sensing,digital image processing,Geographic Information System and other technologies,a direct change monitoring method ofn the change vector analysis of the brightness and vertical vegetation index was presented.Through the adjustment of the original data by histogram,the 2010 and 2018 corresponding band data of the TM image were matched with probability distribution to make it have the same probability distribution and consistent mean and standard deviation.Then the spatial matchingimages of different time phases wasapplied to extract the brightness index BI and the vertical vegetation index PVI,with the two-dimensional change vector to realize the classification and change monitoring of land use types.The method was compared and verified in the actual change monitoring of land use types in the area of fit. |
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| Keywords: | land use brightness index vertical vegetation index dynamic change monitoring |
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