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Today, with the situation of rapidly emerging high resolution earth observation data by optical and microwave sensors there is a growing need for efficient methods to derive, maintain and revise land ...
Deforestation still nowadays occurs at an alarming rate in tropical regions. Forest monitoring is required to delineate the extents of deforested areas based on high resolution satellite images (SPOT)...
High resolution remotely sensed images provide current, detailed, and accurate information for large areas of the earth surface which can be used for change detection analyses. Conventional methods of...
Unmanned aerial vehicles (UAV) have been widely used to capture and down-link real-time videos/images. However, their role as a low-cost airborne platform for capturing high-resolution, geo-referenc...
Historical maps, aerial images and other historic documents are finding their way into the digital world. This offers new possibilities but also requires adapted technologies and interdisciplinary app...
Multi-temporal and multi-sensor satellite information can supply valuable information about vegetation species, especially in the context of biodiversity. Main focus of the presented project CARE-X is...
Object-based change detection has been the hotspot in remote sensing image processing. Mean shift procedure, a non-parametric feature space analysis technique, is elaborated and used to segment images...
Object based image classification is applied to assess the upward advance of tree species in Finnish Lapland caused by the current global warming. An automated Feature Extraction Module (Fx) impleme...

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