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We propose an image labeling method for LIDAR intensity image obtained by Mobile Mapping System (MMS) using K-Nearest Neighbor (KNN) of feature obtained by Convolutional Neural Network (CNN). Image la...
Map labeling is a classical problem of cartography that has frequently been approached by combinatorial optimization. Given a set of features in the map and for each feature a set of label candidates,...
Accurate positioning of vehicles plays an important role in autonomous driving. In our previous research on landmark-based positioning, poles were extracted both from reference data and online sensor ...
In mobile laser scanning systems, the platform’s position is measured by GNSS and IMU, which is often not reliable in urban areas. Consequently, derived Mobile Laser Scanning Point Cloud (MLSPC) lacks...
Mobile Mapping’s ability to acquire high-resolution ground data is opposing unreliable localisation capabilities of satellite-based positioning systems in urban areas. Buildings shape canyons impeding...
Hyperspectral LiDAR (HSL) is a novel tool in the field of active remote sensing, which has been widely used in many domains because of its advantageous ability of spectrum-gained. Especially in the pr...
Mobile Mapping (MM) is a technique to obtain geo-information using sensors mounted on a mobile platform or vehicle. The mobile platform’s position is provided by the integration of Global Navigation S...
The shape measurement of goaf is an important job in mine project. With the rapid development of the measuring equipment, 3D laser scanner, which makes the efficiency of traditional work being improve...
An innovative approach is proposed for the extraction of the complex urban three dimensional feature efficiently and accurately. In this method, firstly, both the LiDAR data and the aerial images are ...
Recent developments of optical space sensors enable us to use high resolution space images for topographic mapping. Geometric and radiometric resolution are the major factors for identification of o...
This paper presents a robust phase correlation based sub-pixel feature matching technique and its application in motion flow estimation, pixel-to-pixel image-co-registration and DEM generation. We pro...
This paper researched on change detection of outdated map road feature based on updated high-resolution satellite remote sensing (RS) image.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 ...
Texture quantization is a useful method for extraction spatial relevance between pixels which is used in humane brain for image interpreting. Beside the spectral bands textural features of high spatia...
Texture is the important spatial structure information and primary feature of remote sensing imagery. It contains the surface information of imagery and the relationship with around environment. First...
Many scholars at home and abroad are extensive concerning about the forming mechanical of urban heat island phenomenon. According to correlation study, the surface temperature in the center of Beijing...

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