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It is well known that a minimum of four GPS satellites is required to obtain a 3D position fix. However, due to the obstructions, satellites visibility can become very low in certain areas. In recent years, newly acquired LiDAR Digital Elevation Models (DEMs) at 1m or even higher resolution have become more accessible and thus can be used to aid GPS navigation. The interpolated height from a highly...
More and more new data acquisition methods are beginning to emerge for providing abundant spatial data. LiDAR as a fast, high accuracy data acquisition way is increasingly adopted in many information systems. It is crucial to get the field data in the first place for emergency management. The up to date, real-time, good quality data can better serve for the emergency response decision making. Diverse...
LIDAR (Light Detection and Ranging) is one of the most effective remote sensing systems, which could provide three dimensional information of earth surface with high accuracy and speed. Now the building boundary extraction is the key approach for 3D modeling of building and city mapping. In this paper, a new algorithm named Alpha Shapes is developed to extract the building boundary. Compared with...
A framework to reconstruct 3D building rooftops from LiDAR data is proposed, in which the key contribution is a dynamic triangle — based method for precise rooftop detection. This framework consists of four steps: building point segmentation, coarse building rooftop detection, precise building rooftop determination, and 3D building rooftop reconstruction. The segmented LiDAR points belonging to each...
This paper provides a new solution to manage and display the massive LiDAR point cloud data based on virtual global platform, either airborne or terrestrial LiDAR data, which helps understanding the overall conditions of the collected data from different sources. Given overall consideration of management and virtualization, the study designs the out-of-core multi-resolution data structures. The structures...
Tree species classification using hyperspectral data has a problem over the cases of different tree species with similar spectral signals, especially in the natural boreal forests which have abundant tree species. In this paper, we assessed the data fusion capacity of airborne hyperspectral and LiDAR for mapping dominant tree species in Liangshui National Nature Reserve, Heilongjiang Province, China...
With frequent occurrence of natural disasters such as typhoons, and earthquakes annually, Taiwan suffers heavy rains that caused frequent collapses of ridges and mud slides. The objective of this study is to use high-resolution DTM data and their extended geo-morphometric features. Through distinguishing color and geo-morphometric features, the images can be split and merged to form regions. Then,...
A new approach to segment building points from raw LiDAR data by the integration of LiDAR data and imagery is proposed. The segmentation of coarse building point from LiDAR data is executed by using the algorithm proposed by Zhang et al. [1]. A new dynamic triangle-based algorithm is presented to obtain the precise building points by the refinement of the coarse building data. This new dynamic triangle-based...
A new technique for quickly assessing extensive areas of mining subsidence that uses digital elevation models (DEMs) extracted from LiDAR (Airborne light detection and ranging, LiDAR) is presented in this paper. The proposed technique observes the elevation changes by using multi-temporal DEMs. One-meter-resolution DEMs from LiDAR data are applied to detection the mining subsidence in Hebi coal mine...
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