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To overcome the challenges of parking lot structure extraction using optical remote sensing images, this study proposes an automatic method for the extraction of parking lot structure by integrating LiDAR data and orthophoto, which consists of three steps. The first step is to extract vehicles from LiDAR data and then to identify the corresponding central axes for each vehicle. In the second step,...
Data registration is a prerequisite in the integration of multi-platform LiDAR for various applications. A new approach is proposed for automatic registration of airborne LiDAR data and terrestrial LiDAR data, by synthetically using building boundaries and corners. Building boundaries and corners are firstly extracted from terrestrial and airborne LiDAR data with existing methods; a strategy using...
The integration of heterogeneous multi-source geospatial information always has been the research focus of geographic information sharing. As an efficient tool to describe, discover and retrieve the information source, metadata is the key technology the implement the integration and sharing of information sources. Metadata directory service is to describe various information use metadata as the basic...
The sandbank is a potential huge land resources, especially for land nervous regions, however, it has a very important realistic significance. So it becomes more important for sandbank shoreline's rapid monitoring, extraction and changing analysis. For the rapid extraction of sandbank shoreline of Jiangsu, China. Wavelet transform will be used first to process TM image. Then, on the basis of analyzing...
This paper introduced fast marching and minimum path into road extraction from remotely sensed images and proposed a new road extraction method. The work builds on a novel variant of fast marching approach, named as multi-points fast marching. The underlying idea is to calculate minimum action map with multi-points propagating simultaneously. Efficacious saddle points are selected with judgment criterion...
Remote sensing technique has advantages in exploring the spatiotemporal trends of urbanization compared with traditional socioeconomic indicators (e.g. population growth, employment shifts, etc.). Details in urban change and growth can be effectively identified using multi-temporal images of remote sensing by multi-scales analysis approaches at the metropolitan, city or district level. In this study,...
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