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Multiscale segmentation is a key prerequisite step for object-based classification methods. However, it is often not possible to determine a sole optimal scale for the image to be classified because i...
As a contribution to a better understanding of the integration of different data sets into knowledge-based classification processes the presented study compares different data-fusion techniques which ...
The availability of up-to-date and reliable land cover maps is of great importance for many earth science applications. For the generation of operational and transferable land cover products the devel...
Uncontrolled sprawl occurring in large cities of developing countries requires intensive mapping efforts to update geodatabases. The intense urbanization process experienced since the 70’s in Sao Paul...
Continuous monitoring and updating of distribution maps is essential for conservation and management of plant communities,especially in regions where change and development are rapid. Traditional meth...
Object-based classification is a promising methodology. Unlike pixel-based techniques which only use the layer pixel values, the object-based techniques can also use shape and context information of a...
This paper assesses the feasibility of forest cover mapping and the delineation of deforestation using Japanese Earth Resource Satellite (JERS-1) Synthetic Aperture Radar (SAR) data. The assessment is...
The detection of forest types and structure parameters is of major importance for the design of forest inventories, for the application of forest management practices as well as for the monitoring of ...
Land use/land cover (LULC) is dynamic in nature and can affect the ability of land to sustain human activities. The Indo-Gangetic plains of north Bihar in eastern India are prone to floods, which have...
The objective of this research is to classify major crop types cultivated in Karacabey Plain of north western Turkey using multitemporal Kompsat-2 and Envisat ASAR data with an object-based methodolog...
Land Use/Land Cover (LULC) classifications have proven to be valuable assets for resource managers interested in landscape characteristics and the changes that occur over time. This study made a compa...
A multi-scale object-based classification was carried out using data from three differentsensors to map classes of interest inthe framework of the EPISTIS project. This project aims to highlightthe sp...
This research has been conducted to evaluate the proposed object-based method with high spatial resolution airborne remote sensing data in tree species identification and mapping. It has been done in ...
The availability of numerous spectral, spatial, and contextual features renders the selection of optimal features a time consuming and subjective process in object-based image analysis (OBIA). While ...
In Portugal, updating municipal plans (1:10 000) isrequired every ten years. High spatial resolution imagery has shown its potential for detailed urban land cover mapping at large scales. However, sha...

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