欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
面向对象的遥感信息提取技术由于其更符合人脑思维方式、更容易与地学知识结合，目前已经成为遥感信息自动提取的主流方向。对象化处理是面向对象遥感信息处理的重要步骤，实现了从分割影像到对象矢量影像的转变。提出了一种快速标号方法，可以快速为分割图像中的对象赋给唯一值标签并同时统计对象的其他特征，可以显著地提高去除小班块、矢量化预处理等操作的运行速度，在对象化过程中有广阔的应用前景。
英文摘要：
Object-oriented information extraction method has become the mainstream of automatic extraction of information in remote sensing, since it is in accord with artificial intelligence and has more approaches to geographic theories. Objectification is a key step in object-oriented automatic extraction of information, in which a segmentation image is transmitted into a vector image. The proposed method is able to assign a unique value to an object represented by a grey value in the segmentation image, at the same time, calculates some other features of this object. Using this method, many processes such as removing small region, pretreatment of vectorization can be achieved much faster.
同期刊论文项目
同项目期刊论文
Semivariogram based spatial bandwidth selection for remote sensing image segmentation with mean-shif
Bosten lake wetlands water level automatic retrieval and trends analysis based on ICESat GLAS global
ESTIMATION OF IMPERVIOUS SURFACE BASED ON INTEGRATED ANALYSIS OF CLASSIFICATION AND REGRESSION BY US
Wetland mapping in the Balqash Lake Basin Using Multi-source Remote Sensing Data and Topographic fea
A New Approach to Improve the Cluster-based Parallel Processing Efficiency of High-Resolution Remote
Modified average local variance for pixel-level scale selection of multiband remote sensing images a
Modified ALV for selecting the optimal spatial resolution and its scale effect on image classificati
位置：