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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...
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 ...
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...
The purpose of this study is to clarify the relationship between the distribution of small-scale green spaces and butterfly assemblages in urbanizing areas located north-east of Ichikawa City. Landsca...
Why are today’s TV users able to receive different programs in their homes using different channels with a remote control? Why have lay users of satellite images not been able to receive satellite inf...
This work proposes a framework for increasing the degree of automation of low-resolution satellite images interpretation procedures.Basically, the method starts with an image segmentation which, accor...
Over the years, satellite based remote sensing data have been successfully utilized for mapping, monitoring, planning and development of urban sprawl, urban land use and urban environment. In the pres...
In this paper is investigating the possibility of the application of panchromatic image, with spatial analysis 1 meter, from the satellite IKONOS-2 in the Hellenic Cadastre for suburban regions. This ...
Very-High-Resolution (VHR) satellite imagery is a powerful source of data for detecting and extracting information about urban constructions. Shadow in the VHR satellite imageries provides vital infor...

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