基于时空序列的栅格压缩编码变化算法研究
发布时间：2018-11-11 14:51
【摘要】：栅格数据是GIS一种重要的表达方式，栅格数据的矩阵结构形式适合描述连续变化的自然现象，在土壤侵蚀、林带演化、土地利用、荒漠化、火灾蔓延、景观变化等地理国情监测方面有着重要的应用，而且随着遥感数据的获取代价越来越小，基于栅格数据的研究，尤其是针对多时相栅格数据的差异性提取问题日趋重要。由于栅格数据量大，且提取栅格差异需要多期数据，存在大量历史数据冗余，所以在提取栅格数据差异同时，并节约栅格数据的存储空间，及实现栅格差异数据的历史回溯和空间分析是本文的研究目的。 本文利用大港区1988-2005年三期土地利用遥感数据为例，研究了基于栅格数据的差异性提取方法，其中包含栅格差异存储的数据组织方法及栅格数据历史回溯分析方法。 主要研究内容如下： （1）从时态GIS对时序栅格数据管理的实际需求出发，分析了栅格数据管理组织的时态性及常见的几种栅格时空数据模型，，提出了适合栅格差异性存储、分析的多基态多级差文件的修正模型； （2）分析了目前常用的栅格压缩方法，改进了线性四叉树压缩编码算法，并把改进后的算法应用到二维行程编码中，提出了基于二维行程动态压缩编码算法，节约了栅格数据存储空间，并优化栅格数据结构，方便提取栅格数据差异性； （3）分析和研究了提取栅格数据间的差异变化问题，提出了二维行程动态编码对等分裂差异分析算法，实现了栅格数据差异性快速提取及差异性的空间分析； （4）研究了栅格图快照还原方法，提出了基于二维行程动态压缩编码的差异累加算法，实现了栅格数据的历史回溯； （5）为了验证本文所提出的相关算法正确性，开发了以土地利用为例的基于栅格数据的差异分析的系统。
[Abstract]:Raster data is an important expression of GIS. The matrix structure of raster data is suitable to describe the natural phenomena of continuous change, in soil erosion, forest belt evolution, land use, desertification, fire spread. Landscape change and other geographical situation monitoring have important applications, and with the cost of remote sensing data is getting smaller and smaller, the research based on raster data, especially to extract the difference of multi-temporal raster data is becoming more and more important. Because of the large amount of raster data and the need of multi-period data to extract raster difference, there is a lot of historical data redundancy, so the storage space of raster data is saved while extracting the difference of raster data. The purpose of this paper is to realize the historical backtracking and spatial analysis of raster difference data. Based on the remote sensing data of land use in Dagang area from 1988 to 2005, this paper studies the method of extracting the difference based on raster data, which includes the method of data organization and the method of historical backtracking analysis of raster data. The main research contents are as follows: (1) based on the actual demand of temporal GIS for temporal raster data management, the temporal characteristics of raster data management organization and several common raster spatio-temporal data models are analyzed. A modified model of multi-ground state multi-level difference file suitable for grid difference storage and analysis is proposed. (2) the commonly used raster compression method is analyzed, the linear quadtree compression coding algorithm is improved, and the improved algorithm is applied to two-dimensional stroke coding, and a dynamic compression coding algorithm based on two-dimensional stroke is proposed. The storage space of raster data is saved and the raster data structure is optimized so that the difference of raster data can be easily extracted. (3) analyze and study the variation of the difference between the raster data, propose a two-dimensional dynamic coding algorithm of peer-to-peer split difference analysis, and realize the spatial analysis of the difference of the raster data. (4) the restoration method of grid map snapshot is studied, and the difference accumulation algorithm based on two-dimensional stroke dynamic compression coding is proposed to realize the historical backtracking of grid data. (5) in order to verify the correctness of the algorithms proposed in this paper, a raster-based difference analysis system based on land use is developed.
【学位授予单位】：山东农业大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P208;TP391.41
本文编号：2325181
[Abstract]:Raster data is an important expression of GIS. The matrix structure of raster data is suitable to describe the natural phenomena of continuous change, in soil erosion, forest belt evolution, land use, desertification, fire spread. Landscape change and other geographical situation monitoring have important applications, and with the cost of remote sensing data is getting smaller and smaller, the research based on raster data, especially to extract the difference of multi-temporal raster data is becoming more and more important. Because of the large amount of raster data and the need of multi-period data to extract raster difference, there is a lot of historical data redundancy, so the storage space of raster data is saved while extracting the difference of raster data. The purpose of this paper is to realize the historical backtracking and spatial analysis of raster difference data. Based on the remote sensing data of land use in Dagang area from 1988 to 2005, this paper studies the method of extracting the difference based on raster data, which includes the method of data organization and the method of historical backtracking analysis of raster data. The main research contents are as follows: (1) based on the actual demand of temporal GIS for temporal raster data management, the temporal characteristics of raster data management organization and several common raster spatio-temporal data models are analyzed. A modified model of multi-ground state multi-level difference file suitable for grid difference storage and analysis is proposed. (2) the commonly used raster compression method is analyzed, the linear quadtree compression coding algorithm is improved, and the improved algorithm is applied to two-dimensional stroke coding, and a dynamic compression coding algorithm based on two-dimensional stroke is proposed. The storage space of raster data is saved and the raster data structure is optimized so that the difference of raster data can be easily extracted. (3) analyze and study the variation of the difference between the raster data, propose a two-dimensional dynamic coding algorithm of peer-to-peer split difference analysis, and realize the spatial analysis of the difference of the raster data. (4) the restoration method of grid map snapshot is studied, and the difference accumulation algorithm based on two-dimensional stroke dynamic compression coding is proposed to realize the historical backtracking of grid data. (5) in order to verify the correctness of the algorithms proposed in this paper, a raster-based difference analysis system based on land use is developed.
【学位授予单位】：山东农业大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P208;TP391.41
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