… digital aerial images for highly automatic 3D map generation. The … The multispectral digital
aerial images consist of a high … NIR images for an initial classification and the panchromatic …

… segmentation module to obtain a rough aerial map, in which each region is … aerial image
dataset for online map generation (AIDOMG). AIDOMG consists of 40087 pairs of aerial images …

… map generation method presented in this paper is divided into a pixel-wise classification of
the aerial images … For classification, an image descriptor that is specifically designed for the …

… a density map generation network to generate the density map for each aerial image. Second,
… object scale and slide the window over the density map without overlapping. The density …

… (aerial) images where a semantic class label is assigned to each pixel via supervised
classification as a basis for automatic map generation… and roads in aerial images, and compare its …

… , aerial images are much easier and cheaper to obtain. In this article, we propose a novel
multilevel map (MLM) generation … zoom levels from aerial images. It consists of a level-aware …

… label every pixel in the image. The result obtained … generating 3D buildings. The proposed
algorithm extracts building footprints from aerial images, transform semantic to instance map …

… Next, we employ an automated candidate generation approach to identify candidate
roads that changed in OSM between 2012–2019. In our approach, we extract the OSM …

… Qualitative results for road detection and map generation using graphs. Sampled and SBO
roads are drawn from the graph representation, given a road thickness. Roads extracted with …

… erate a digital map from the aerial photograph. For map generation, it is necessary to
develop a technique to recognize various natural- and artificialobjects in the image by computer …