| 一种基于先验知识的矢量边界更新方法 |
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| 引用本文： | 韩敏,孙杨,唐晓亮.一种基于先验知识的矢量边界更新方法[J].遥感学报,2008,12(1):28-35. |
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| 作者姓名： | 韩敏 孙杨 唐晓亮 |
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| 作者单位： | 大连理工大学,电子与信息工程学院,辽宁,大连,116023 |
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| 摘 要： | 本文针对GIS中地物矢量边界更新繁琐、低效的问题, 提出一种以GIS数据作为先验知识的简便矢量边界更新方法.该方法针对GIS线性矢量边界只需有限个拐点描述的特性, 将对边界寻找转化为直接对矢量边界上拐点位置的确定, 简化了变化检测与更新过程.以TM遥感影像为数据源,矢量shape文件为先验知识, 分别利用该方法检测、更新扎龙湿地内克钦湖、东升水库以及一块沼泽地边界.并运用简化的缓冲区检测算法计算拐点更新准确率, 同时对本文结果与手动更新结果的相似性进行计算与分析.实验结果表明, 本方法不但简化了变化检测和更新过程, 而且可以得到接近手动更新方法的准确率, 并且更新后矢量多边形与手动更新所得到的矢量多边形保持了较高相似性, 达到了较好的效果.
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| 关 键 词： | 遥感影像 矢量边界 先验知识 变化检测 更新 基于先验知识 矢量边界 更新方法 Update Edge Vector Prior Knowledge Based 效果 矢量多边形 实验 分析 相似性 手动 结果 准确率 计算 检测算法 缓冲区 运用 |
| 文章编号： | 1007-4619(2008)01-0028-08 |
| 修稿时间： | 2006年10月30 |
A Method Based on Prior Knowledge for Vector Edge Update |
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| HAN Min,SUN Yang and TANG Xiao-liang.A Method Based on Prior Knowledge for Vector Edge Update[J].Journal of Remote Sensing,2008,12(1):28-35. |
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| Authors: | HAN Min SUN Yang and TANG Xiao-liang |
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| Abstract: | Data update is an mi portant task forGIS. However, complex and inefficient process has been a principal
problem thatgets in theway ofupdatingGIS data in tmi e during vectordata update inGIS, it isnecessary to substitute an
automaticmethod formanualmethod currently.
In order tomake data update lessdependenton arbitrary judgement, auxiliary information should be cited. During the
change detection of remote sensing mi ages, GIS data have played an mi portant role as prior knowledge in increasing
accuracy and smi plifying process. Approaches of change detection and data update has been proposed in recent years.
However, those approaches are based on neuralnetwork, knowledge base instead on linearvectordata. Linearvectors that
describe the object region edge in GIS, is usually irregular polygon which is represented as connection of the discrete
points on the edge. Hence, itmakes sense that themethod depending on the attributes of linear vectors above is figured
out to update the coordinate values ofpoints on the boundary.
A smi ple and convenientmethod, which utilizes data in GIS as prior knowledge, is proposed here for vector edge
update to solve the problem of complexity and inefficiency. Thismethod involves three-step processes of searching edge:
generally locating points, recognizing the convexity and concavity, and detailedly describing the polygonal shape. The
pointsmoveswithin the lmi ited regions thatthreshold valuesdetermines. Thismethod integrates remote sensing mi ages and
priorGIS data, aswell as replace searching edge curve with locating inflexions to smi plify change detection and update
process. In addition, themethod points out an idea of integration of remote sensing and geographical information system
datawith the carrier of linear vectors.
W ith the expermi ental data ofLandsatTM remote sensing mi ages and the prior knowledge of vector data saved as
shapefile ofArcGIS(software, themethod is applied to detectand update the edgesofKeqinLake, DongshengReservoir
and an area ofmarsh in ZhalongWetland inHeilongjiangProvince, China. And then update accuracies are tested by the
smi plified buffer detection algorithm for computing polygonal error based on original buffer detection algorithm, and the
polygonal comparability between this presentedmethod and themanualmethod is calculated and analyzed. In terms of the
characteristic of polygon, five factors are adopted in evaluating the polygonal comparability: major direction angle and
minor direction angle ofminmi um exterior rectangle, length and width ofminmi um exterior rectangle, and polygonal
permi eter. Relative error of these five factors are computed, based on which mean value is considered as evaluation of
polygonal comparable percentage. Besides, different from originalbufferdetection algorithm, a smi plified bufferdetection
algorithm ispointed out. Based on the mi provement, bufferdetection algorithm can be calculated through infinite numbers
ofpoints on the polygon that stand for object region edge.
Estmi ations are obtained according to those two criteria above. The results show that the update accuracy ofproposed
method reach above 80%, a little lower than the resultderived frommanualmethod, though good polygonal comparability very close to the result ofmanualmethod. In spite of that, the approach presented performs an automatic procedure of
vector edge update in GIS. Apparently, this method well smi plifies change detection and update process, as well as
achieves an update accuracy close to themanualmethod, and a relatively satisfactory comparabilitywith themanualupdate
method. Besides, the results mi plies thatdifferentexpermi entalobjects lead to distinctevaluated results. The smi pler the
shape of edge is, the better the method is evaluated. Thus, the result from expermi ent on Keqin Lake is better than
DongshengReservoir andmarsh, as the contour ofKeqin Lake is smi pler than thatof the other two.
Nevertheless, there are still several disadvantages to be mi proved. Thismethod loses control of contour shape of
object so that the movement can not be restricted to be harmonious between adjacent points. Also, the moving range
threshold ofpoints are supposed to be settled by researcher, whichmeans that the automatic process is affected by human
idea. |
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| Keywords: | remote sensing image vector edge prior knowledge change detection update |
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