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This paper presents the application of landsat imagery for mapping and assessing the forests damage. To fulfil the goals of this study landsat thematic mapper (TM) hard copy images were used. Moreover...
Image matching is an essential and difficult task in digital photogrammetry and computer vision. This paper presents a triangulationbased hierarchical image matching algorithm for stereo satellite ima...
Large portions of shadowed areas in satellite images of urban areas can affect the accuracy of classification and thus reduce an image’s effectiveness in urban remote sensing applications. This is p...
Digital Surface Models (DSMs) are representing the visible surface of the earth by the height corresponding to its X-, Y-location and height value Z. The quality of a DSM can be described by the acc...
The availability of new high resolution radar spaceborne sensors offers new interesting potentialities for the geomatics application: spatial and temporal change detection, features extraction, gener...
One of the tasks of ISFEREA action at the Joint Research Center (JRC) in Ispra, Italy, is to assess changes in land cover after natural disasters using satellite imagery. To describe the pre-event a...
In Taiwan, the average annual rainfall is about 2,500 mm, about three times the world average. Hill slopes where are mostly under meta-stable conditions due to fragmented surface materials can easil...
Several flights have been undertaken with PAMS (Photogrammetric Aerial Mapping System) by Germatics, Germany, which is briefly introduced. This system is based on the SmartPlane fixed-wing UAV and a...
ASTER acquires along track stereoscopic imagery, with a spatial resolution of 15 meters. Automatic generation of Digital Elevation Models (DEMs) from these images is a well established process, impl...
CCD linear array sensors are widely used to acquire panchromatic and multispectral imagery for photogrammetric and remote sensing applications. The processing of this kind of images provides a challe...

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