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The marker-controlled watershed transform is often used to segment objects with some similarities (grey, texture, shape, etc), and thus quite suitable for extracting buildings in SAR images, which have distinct characteristics and strong similarities.
Based on our previous work in building detection from SAR images, aiming at extracting buildings with their whole and accurate boundaries from the built-up area, a general framework using the marker-controlled watershed transform is introduced to combine both building characteristics and contextual information.
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This paper presents a method for extracting building roof contours from digital images collected over urban landscapes.
Experimental evaluation, which included visual inspections and numerical analyses, was performed using real data, and the obtained results demonstrated that the proposed method has significant potential for successfully extracting building roof contours from digital images.
The method consists of a sequence of numerical operations: generating the normalized Digital Surface Model (nDSM), extracting building objects, deriving object attributes, associating objects with the corresponding land lots, and computing building density indicators at land lot and urban district scales.
We evaluate this approach by comparing the accuracy and overall quality of extracted buildings to a building footprint control dataset.
In his first year the graywacke (coarse sandstone) quarries in the Wadi Hammāmāt, east of Coptos (modern Qifṭ) in Upper Egypt, were surveyed and reopened to extract building stone.
The second step models the directional relationship between building and shadow objects to extract building information at the optimal segmentation level.
As the day unfolds, and light tones of pink and blue begin to mark out the surrounding contours, we see that on one side of our route up is a huge chasm, caused by the machines that continually extract building material from this hill.
Figure 12e gives the final detection result and Figure 12f shows the extracted building boundaries.
PR detector is adopted to extract building shadow and roads, as the external markers.
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