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The ability of remote sensing to represent ecologically relevant features at multiple spatial scales makes it a powerful tool for studying wildlife distributions. Species of varying sizes perceive and...
In the process of object-oriented change detection, the determination of the optimal segmentation scale is directly related to the subsequent change information extraction and analysis. Aiming at this...
The change detection of remote sensing images means analysing the change information quantitatively and recognizing the change types of the surface coverage data in different time phases. With the app...
From the last decade, the multi-scale image segmentation is getting a particular interest and practically being used for object-based image analysis. In this study, we have addressed the issues on mul...
Soil moisture is important to enable the growth of vegetation in the way that it also conditions the development of plant population. Additionally, its assessment is important in hydrology and agronom...
This paper presents a multi-way tree based multi-scale line structure for progressive transmission of vector data. By topological restraints, the structure maintains the consistent topologicalrelation...
Cartosat-1 is the first Indian Remote Sensing satellite able to collect in-track high resolution stereo images with a 2.5m pixel size. Since Cartosat-1 has no multispectral cameras, it was mainly deve...
Canopy Height Model (CHM) is a standard LiDAR-derived product for deriving relevant forest inventory information, among which individual tree identification is a crucial task. The watershed algorithm ...
As an important component of ITS (Intelligent Transformation System), the road-network features in navigable database are characterized by multi-scale representations, which means that several repre...
The increasing number of Earth observation sensors on the market is making the choice of optimized data sources to serve operational needs more complex than ever before. Applying a geographic perspe...
The objective of this research was the design and development of a region-based multi-scale segmentation algorithm with the integration of complex texture features, in order to provide a low level pro...
This paper presents field-based classifications performed using the multi-resolution images of SPOT4 XS, SPOT5 XS, IKONOS XS,QuickBird XS, and QuickBird Pansharpaned (PS) covering an agricultural area...
In this paper a supervised approach for the object building / segmentation process utilizing a priori knowledge about the specific scale domain of the target features is proposed. One premise was that...
This paper proposed a multi-scale segmentation method for remote sensing image based on mathematical morphology. In mathematical morphological operations, opening transform can extract lighter connect...
The Mesoamerican region stretches from southern Yucatan, Mexico through Panama. In 1999, the University of Maine, NASA-Global Hydrology and Climate Center and NASA- Jet Propulsion Lab teamed with th...

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