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In this paper authors processed five satellite image of five different Middle-European cities taken by five different sensors. The aim of the paper was to find methods and approaches leading to evalua...
In this paper, a new approach for automated extraction of building boundary from high resolution imagery is proposed. The proposed approach uses both geometric and spectral properties of a building to...
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...
This paper presents a method for dense DSM reconstruction from high resolution, mono sensor, passive imagery, spatial panchromatic image sequence. The interest of our approach is four-fold. Firstly, w...
Over-parameterization and over-correction are two of the major problems in the rational function model (RFM). A new approach of optimized RFM (ORFM) is proposed in this paper. By synthesizing stepwise...
Forest stands are the basic units for forest inventory and mapping. Stands are large forested areas (e.g., ≥ 2 ha) of homogeneous tree species composition. The accurate delineation of forest stands is...
Emergence of light detection and ranging (LiDAR) technology provides new tools for geomorphologic studies improving spatial and temporal resolution of data sampling hydrogeological instability phenome...
State of the art for the investigation of the settlements' extension and their temporal change is either conventional mapping (field work, cadastral maps, topographic and thematic maps) or aerial phot...
The remits of regional planning and environmental monitoring are growing steadily. Planning data and status information need to made available in ever more up-to-date form and with high spatial resolu...
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...
Texture features in high resolution TerraSAR-X data were used for classification in this paper. In single band and single polarized SAR image, texture holds useful information for interpreting objects...
The very high resolution multispectral satellites imagery, such as IKONOS and Quickbird satellite provides a level of detail compatible with urban mapping, it collect images which are a need to classi...
The population growth in the Greater Istanbul Municipal area is causing several changes of the build up parts. Often these changes are not legal. Especially in the protected water catchments areas ill...
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...
This paper describes a region-based technique for fusion of high-resolution images. In this technique, mean shift segmentation is adopted to extract the features for high resolution image as a substit...

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