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搜索结果: 1-10 共查到图形图象复制技术 Automatic相关记录10条 . 查询时间(0.125 秒)
An automatic procedure is developed for detection of changes between an existing road database and a newly registered satellite image, rectified to an orthophoto.
Aerial photographs have been evaluated manually by the operators for a long time for the extraction of the vector data. The development of computer technology and digital image processing technologies...
The original approach to image matching is proposed. The method itself can be classified as contour matching, based on boundary pattern analysis technique. Contours extraction technique is reinforced ...
In this paper we will revise the recent developments in the field of automatic object extraction for change detection and GIS update under different aspects: (1) level of automation; (2) available sen...
This paper presents a new method for matching edges across a video image sequence. The method can deal with uncalibrated images acquired with a hand held camera. Compared to previous work, the method ...
In this work we develop semi-automatic road extraction system for updating and storage road network data bases. Combination of some of the existing road extraction techniques such as spectral and spat...
In this article a new procedure that was designed to extract road centerline from high resolution satellite images, is presented. The results (road Networks) are fully structured in vector formed in C...
Various governmental organizations need accurate, correct and up to date information for optimization of resource and service management. In this issue, geospatial information is very important. Geosp...
Image segmentation is defined as partitioning an image into non-overlapping regions based on the intensity or texture. The active contour methods with comes from the basic ideas of Stochastic Motion a...
This paper presents a matching procedure for automatic DSM generation from the Three-Line-Scanner (TLS) raw images. It can provide dense, precise and reliable results. The proposed method combines ma...

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