Abstract
Abstract. Digital orthophoto maps have great advantages of high precision, plentiful information, fine intuition and visualization and convenient acquisition, as one of the most important part of national spatial data infrastructure (NSDI), and a type of required data resources in geo-spatial industry.Within last few years, large volume of high-resolution remotely sensed images have become available, obtained by various remotely sensed platforms. The acquired remotely sensed images continuously increasing by exponential order have brought a series of problems about storage, management, distribution and applications of massive image data. The objectives of the following research is to investigate how to design and construct national digital orthophoto map database which is mainly constituted by domestic remotely sensed images. In this paper, according to technical characteristics of national fundamental geo-information image database, we analyzed and then put forward the demands and functions of multi-source and massive database of digital orthophoto maps, and constructed an example of DOM database primarily on the basis of domestic remoted images such as ZY-3 and TH-1.
Highlights
Digital orthophoto maps (DOM) have great advantages of high precision, plentiful information, fine intuition and visualization, and convenient acquisition, as one of the most important part of national spatial data infrastructure (NSDI)(Tian, 2006), and a type of required data resources in geo-spatial industry
Remotely-sensed data size is growing by exponential order these years, which stressed a series of problems about storage, management, distribution, service and application of massive image data
Database maintenance includes deletion and updating, in which updating function should support and satisfy image updating in any local area (Huang, 2011)
Summary
Digital orthophoto maps (DOM) have great advantages of high precision, plentiful information, fine intuition and visualization, and convenient acquisition, as one of the most important part of national spatial data infrastructure (NSDI)(Tian, 2006), and a type of required data resources in geo-spatial industry. Remotely-sensed data size is growing by exponential order these years, which stressed a series of problems about storage, management, distribution, service and application of massive image data. According to the characteristics of high resolution and updating speed, large data size and wide-spread applications, we need to establish an integrated image database, to satisfy urgent requirement about the storage, management, distribution and application of multiresolution, multi-sense and multi-source digital orthophoto images, to supply a steady and reliable platform of image data for large surveying and mapping projects, public service and emergency support
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