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Global land cover/land use product in multiple periods is pivotal to understand the complex drivers and mechanisms in global climate change, and to forecast future land use trends in sustainable devel...
In recent years, with the development of the high resolution data acquisition technologies, many different approaches and algorithms have been presented to extract the accurate and timely updated 3D m...
This paper presents a knowledge-based method for automatic road extraction from aerial images. The method uses a hybrid control strategy in which hypotheses of roads are generated in a bottom-up proce...
Contourline maps are increasingly used to generate DTMs (Digital Terrain Models). That's, because in most countries such maps are existing, covering the whole area in different scales, thus representi...
How to measure gain from the use of intelligent inference? How can the complexity of the recognition / classification task be estimated? What is the type of evidence which best suits an.inference mech...
Knowledge-based predictive mapping is a kind of mapping approach which links the existing geo-spatial data and knowledge to predict the status of unknown geographical phenomena. The knowledge reflects...
The prototype of a personal navigator to support navigation and tracking of military and rescue ground personnel has been developed at The Ohio State University Satellite Positioning and Inertial Nav...
The advancements of information technologies as applied to the most diverse fields of science define a breakthrough in the accessibility and processing of data for both expert and non-expert users. N...
The use of KBSs based on evidential reasoning, for land-cover mapping based on remotely-sensed images is spreading widely. In recent years, KBS utilizing Dempster-Shafer Theory of Evidence (D-S ToE)...
Transferability of Knowledge-Based Classification Rules.
In this contribution the way algorithms for object detection in urban areas are integrated into the knowledge-based image interpretation system GeoAIDA is described. Generic scene models are used for...
Laser scanner data is being increasingly used to obtain topographical and object height information for mapping and GIS tasks. Valuable information can be derived of the terrain and objects of a reg...
For the interpretation of remote sensing data the traditional methods such as multispectral classification are in many cases not sufficient. This applies especially to more complex scenes. In order ...
Detection and identification leading to interpretation and mapping of tea gardens from satellite images is the prerequisite for application of remote sensing technology to monitor and management of te...

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