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An automatic procedure is developed for detection of changes between an existing road database and a newly registered satellite image, rectified to an orthophoto.
High-resolution satellite images (HRSI) at sub-5m footprint such as IKONOS, IRS-P5 (CartoSat-1) and SPOT-5 HRG/HRS images are becoming increasingly available to the earth observation community and the...
High resolution (H-res) satellite sensors provide rich structural or spatial information of image objects. But few researchers study the feature extraction method of H-res satellite images and its app...
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, an approach for extracting vehicles from UAV aerial imagery is given. The approach is based on a fuzzy segmentation algorithm, which combine fuzzy c-partition and genetic algorithm, and...
This article presents a new approach for image segmentation applied to urban imagery. Re-segmentation is so called because it uses a previous over-segmented image as input to generate a new set of obj...
Areal features are of great importance in applications like shore line mapping, boundary delineation and change detection. This research work is an attempt to automate the process of extracting featur...
Building extraction and delineation is one of the most salient problems in cartographic features extraction. This paper presents a novel framework for reliable and accurate building extraction from hi...
The remote sensing community has long been active in developing, evaluating, and comparing different classification algorithms using a variety of remotely sensed imagery. As an integral component of i...
We present a new object-oriented land cover classification method based on Support Vector Machine (SVM) by fusing spectral and textural information of High-Resolution (HR) aerial imagery and Digital...
Using high-resolution remotely sensed imagery to timely detect distribution and expansion of residential area is one of most important jobs of national 1:5 spatial database updating. In view of comp...
Updating of navigation databases is an important task to ensure a high level utilization of navigation data. For example, in fundamental topographic databases roads are often represented as a single...
Satellite imagery data centres are designed to operate a defined number of satellites. For instance, difficulties when new satellites have to be incorporated in the system appear. This occurs becaus...
Classification of remotely sensed images is often based on assigning classes on a ‘per-pixel’ basis and therefore ignoring spatial information captured by the image. In this paper a method is propose...

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