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Recently USGS released provisional Landsat 8 Surface Reflectance product, which allows conducting land cover mapping over large composed of number of image scenes without necessity of atmospheric corr...
Diameter-at-Breast-Height Estimation is a prerequisite in various allometric equations estimating important forestry indices like stem volume, basal area, biomass and carbon stock. LiDAR Technology ha...
The generation of high resolution canopy height model (CHM) from LiDAR makes it possible to delineate individual tree crown by means of a fully-automated method using the CHM’s curvature through its s...
Nowadays deep learning has been intensively in spotlight owing to its great victories at major competitions, which undeservedly pushed ‘shallow’ machine learning methods, relatively naive/handy algori...
In urbanized Western Europe trees are considered an important component of the built-up environment. This also means that there is an increasing demand for tree inventories. Laser mobile mapping syste...
Due to the effect of climate factors, natural phenomena and human usage, buildings and infrastructures are subject of progressive degradation. The deterioration of these structures has to be monitored...
Automatic building extraction remains an open research area in digital photogrammetry. While many algorithms have been proposed for building extraction, none of them solve the problem completely. This...
Building reconstruction is essential in applications such as urban planning, telecommunication network planning, flight simulation and vehicle navigation which are of increasing importance in urban ar...
Accurate geocoding of Earth observing (EO) satellite imagery is one major prerequisite to monitor the Earth’s environment. The quality of the obtained geocoded images depends on the accuracy of the se...
Automated image orientation is still a key problem in close-range photogrammetry, in particular if wide baseline images are employed. Nowadays, within the image-based modeling pipeline, the orientatio...
Automated image orientation is still a key problem in close-range photogrammetry, in particular if wide baseline images are employed. Nowadays, within the image-based modeling pipeline, the orientatio...
In order to avoid the time-consuming trial-and-error practice for seeking significant features for optimal class separation in object-based classification, an automatic feature extraction methodology,...
Stand delineation estimation is one of the cornerstones of forest inventory mapping and a key element to forest management decision making. Stands are forest management units defined mainly by similar...
The U.S. Army and other Department of Defense (DoD) combat and combat support agencies requires automated feature extraction (AFE) software for collecting very high-resolution 3D urban features from t...
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)...

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