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Chinese high -resolution (HR) remote sensing satellites have made huge leap in the past decade. Commercial satellite datasets, such as GF-1, GF-2 and ZY-3 images, the panchromatic images (PAN) resolut...
The usual satellite image orientation is based on bias corrected rational polynomial coefficients (RPC). The RPC are describing the direct sensor orientation of the satellite images. The locations of ...
In this paper, we present a proposition of a fully automatic classification of VHR satellite images. Unlike the most widespread approaches: supervised classification, which requires prior defining of ...
This paper describes the combination of multi-data in stratifying the natural evergreen broadleaved tropical forest of the Central Highlands of Vietnam. The forests were stratified using both unsuperv...
Detecting clouds and their shadows is one of the primaries steps to perform when processing satellite images because they may alter the quality of some products such as large-area orthomosaics. The ma...
The overarching goal of this study was to use one of the simple level set methodologies for extracting water boundaries using high resolution satellite images. In the first part of the paper, study ar...
Service providers of satellite imagery provide large quantities of orthorectified and co-registered products. The customer usually has no means of checking the quality of the product that he receive...
Satellite remote sensing can provide a variety of useful data for various type of research. Satellite image map,is one of the products that aim to promote remote sensing. In this study, a high resolut...
In recent years the research activity in image registration has grown at the same pace as the high resolution satellite images have found their way to end users. Much of this research activity has con...
High resolution satellite images such as IKONOS and Quick Bird data provide detail information of land cover at a certain point of time. The small objects in an image represent specific conditions of ...
In forest area, there are few landmarks to be ground control points (GCPs) used for registration of satellite images or maps. Additionally,geographic information from the Global Positioning System (GP...
Traditional map production and updating methods which usually involve field surveying and/or photogrammetry, while established and used for a long time, are time consuming and costly. Whereas satellit...
Many researchers conducted efforts for improving the accuracy of road extraction from satellite images. Many studies have used optical spectrum information of each pixel for road extraction. By applyi...
This work aims at extracting 2D buildings from a single high-resolution satellite image in densely built-up urban areas. The whole algorithm follows the hypothesis-verification strategy.
With the emergence of more and more satellites delivering very high resolution (VHR) imagery with ground sampling distances in the range of one meter or below the generation of three dimensional urban...

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