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Primarily due to the progresses in spatial resolution of satellite imagery, the methods of segment-based image analysis for generating and updating geographical information are becoming more and more ...
The key step in object-oriented image classification is the segmentation of the image into discrete meaningful objects. Generally the relation between the segmentation parameters and the corresponding...
QuickBird imagery covering Kakamega Forest in Western Kenya and the surrounding farmland (i.e. a total area of 631 km2) has been acquired for the interdisciplinary BIOTA East Africa research project. ...
The problem of road segmentation in high resolution images is addressed in this paper. We present an extension of the active contour model that includes a-priori knowledge about the width of the roads...
The objective of this research was the design and development of a region-based multi-scale segmentation algorithm with the integration of complex texture features, in order to provide a low level pro...
Stand delineation estimation is one of the cornerstones of forest inventory mapping and a key element to forest management decision making. Stands are forest management units defined mainly by similar...
With the launch of very high spatial resolution sensors, a good positional quality can be expected from spatial imagery. Furthermore,efficient segmentation algorithms can increase the productivity and...
In this paper a supervised approach for the object building / segmentation process utilizing a priori knowledge about the specific scale domain of the target features is proposed. One premise was that...
For object- oriented classification approaches, main step is the segmentation part of the imagery. In eCognition v.4.0.6 software, with the segmentation process, meaningful objects can be created fo...
The recent trend in image classification of agricultural areas is towards the use of per-field approaches that work in a manner that a crop label is assigned to each field. The existing field bounda...
TORCH:A Design Tool for Routing Channel Segmentation in FPGAs.
High spatial Resolution (VHR) satellite images offer a great potential for the extraction of information for urban areas. In order to derive useful thematic maps from VHR satellite images, other appro...
We investigated Generalized Gradient Vector Flow Active Contours as a suitable boundary mapping technique for Chromosome spread images which have variability in shape and size, expecting to yield a ro...
The collapsed buildings due to earthquake were detected from post-event aerial images using watershed segmentation algorithm. The objective was to detect the collapsed buildings based on the analysi...

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