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Aim at registration of high resolution remote sensing images,a image registration algorithm based on line feature is described in this paper. First,the lines in both images are extracted, Next a modif...
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...
One of the main objectives of the Orfeo Toolbox (OTB) is the definition and the development of tools for the operational exploitation of the future sub-metric optic and radar images (rapid mappi...
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...
In this article a new procedure that was designed to extract road centerline from high resolution satellite images, is presented. The results (road Networks) are fully structured in vector formed in C...
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...
Extracting the targets information from the remote sensing image has become the important method of updating the spatial geography information. With the development of spatial technology, sensor techn...
It is still an open problem to extract road feature from high-resolution remote sensing image, although this topic had been intensively investigated and many methods had been put forwards. All works f...
Various governmental organizations need accurate, correct and up to date information for optimization of resource and service management. In this issue, geospatial information is very important. Geosp...
An approach for tree species classification in urban areas from high resolution colour infrared (CIR) aerial images and the corresponding Digital Surface Model (DSM) is described in this paper. ...
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...
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...
This paper presents a dynamic programming approach for semi-automated road extraction from medium- and high-resolution images. This method is a modified version of a pre-existent dynamic programming...

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