Semi-automatic Extraction and Vectorisation of Multicoloured Cartographic Objects
نویسنده
چکیده
We describe a semi-automatic cartographic image interpretation system in which techniques previously applied to monochrome images are generalised to colour and extended to support digitization of the full range of multicoloured cartographic objects. A snapping tool eases the selection of seed points, speeding interpretation. Line and area objects are identified automatically and a suitable target representation (skeleton or contour) produced for each. This simplifies interaction as the user does not have to vary his/her behaviour with object type. Multi-coloured objects can be constructed from their components with ease and correction tools such as snapping and undo both save time and decrease error rates.
منابع مشابه
Kohonen Self Organizing for Automatic Identification of Cartographic Objects
Automatic identification and localization of cartographic objects in aerial and satellite images have gained increasing attention in recent years in digital photogrammetry and remote sensing. Although the automatic extraction of man made objects in essence is still an unresolved issue, the man made objects can be extracted from aerial photos and satellite images. Recently, the high-resolution s...
متن کاملSemi-automatic detection of cartographic objects Semi-automatic detection of cartographic objects in digital images
A computer system for semi-automatic detection of specific 2-D objects in digital images of cartographic maps is presented. The system design combines image analysis methods with computer graphics and data base technologies. The purpose of this application system is to speed up the work of a cartographician, to increase its efficiency and to transform cartograhpic maps into a symbolic, vektorba...
متن کاملCartographic Feature Extraction
Of all tasks in photogrammetry the extraction of cartographic features is the most time consuming. Since the introduction of digital photogrammetry much attention therefore has been paid to the development of tools for a more efficient acquisition of cartographic features. Fully automatic acquisition of features like roads and buildings, however, appears to be very difficult and may even be imp...
متن کاملA Tool for Object Descriptive Feature Extraction: Application to Image Classification and Map Updating
A software tool specifically designed for the extraction of multi-criteria features from image objects is described, as well as an application example. The input data are typically multispectral imagery and a cartographic database to define the limits of the objects, though these limits can also be provided from a different source, such as an automatic image segmentation process. The output is ...
متن کاملObject-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images
As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005