This paper researched on change detection of outdated map road feature based on updated high-resolution satellite remote sensing (RS) image. The change of road feature was divided into two parts: one is disappear or partial change; the other is new added. To detect disappear or partial changed road, based on outdated map road feature, this paper put forward methods of multi-scale template match...

Road detection is a fundamental task in autonomous navigation systems. In this paper, we consider the case of monocular road detection, where images are segmented into road and non-road regions. Our starting point is the well-known machine learning approach, in which a classifier is trained to distinguish road and non-road regions based on hand-labeled images. We proceed by introducing the use ...

This paper presents a novel method MGARS to automatic road area segmentation based on motion and gray feature for the purpose of urban traffic surveillance. The proposed method can locate road region by region growing algorithm with the fusion feature of motion information and grayscale of background image, which is independent to road marker information. An adaptive background subtraction appr...

an important issue in implementation of a gis system is preparation of data to be entered in gis. to produce spatial data for gis using photogrammetric techniques, conventional method is to apply photogrammetric and gis systems individually (off-line procedure). this approach is costly, time consuming and somehow unreliable due to the fact that 3d photogrammetric model is not available at the t...

While many commercial cartographic feature extraction systems process panchromatic and color imagery, few systems fully integrate airborne LIDAR data as a component of the feature extraction process. Most computational techniques seek elevation discontinuities at object boundaries or use the physics of the LIDAR signal to detect regions indicative of sharp edges and/or foliage. Automated road e...

The updating of road network databases is crucial to many Geographic Information System (GIS) applications such as navigation, urban planning, etc. This paper presents a comprehensive framework for image-based road network updating, in which the following three tasks are performed sequentially: road extraction from imagery, road change detection and updating, and spatio-temporal modeling. For r...

Top-k spatial preference queries rank objects based on the score of feature objects in their spatial neighborhood. Top-k preference queries are crucial for a wide range of location based services such as hotel browsing and apartment searching. In recent years, a lot of research has been conducted on processing of top-k spatial preference queries in Euclidean space. While few algorithms study to...

Road scene parsing is a common task in semantic segmentation. Its images have characteristics of containing complex context and differing greatly among targets the same category from different scales. To address these problems, we propose segmentation model combined with edge detection. We extend network an encoder-decoder structure by adding feature pyramid module, namely Edge Feature Pyramid ...

An important issue in implementation of a GIS system is preparation of data to be entered in GIS. To produce spatial data for GIS using photogrammetric techniques, conventional method is to apply photogrammetric and GIS systems individually (off-line procedure). This approach is costly, time consuming and somehow unreliable due to the fact that 3D photogrammetric model is not available at the ...