State Bureau of Surveying and Mapping

About: State Bureau of Surveying and Mapping is a based out in . It is known for research contribution in the topics: Terrain & Pixel. The organization has 277 authors who have published 206 publications receiving 2044 citations.

Method of auto-generation about the standard framing images boundary

Abstract: Today with rapid development of computer technology, people require placing data into large databases on the unified management. And a variety of data need the corresponding efficient boundary when they need to store. The standard framing data as one of the special kinds, that how to take a fast, accurate and effective storage has been always the focus of the study. This article starts from the naming rules of the standard framing data, and then use OGR library to produce vector graphics (shp) inside the contour map, and finally achieve batch production.

The application of satellite altimetry in establishing regional mean sea level

Abstract: We use satellite altimetry as information source to establish a model of the mean sea level for its global coverage. In coastal, island and shallow water areas the accuracy cannot meet the requirement because of interference of reflected signal. Based on tidal and GPS data, we correct the mean sea level model built in Bohai coastal areas. The results show that the accuracy of the model can be significantly improved.

Coastline extraction from tandem ERS 1/2 interferometric coherence map

Abstract: This paper presents an effective and accurate approach to extract coastlines from InSAR coherence map. The key technique is to automated extract the island coastline quickly in investigating the changes of the island coastlines using remote sensing technique. According to the tremendous difference of backscatter in InSAR coherence map between in sea region and in land region, an automated extracting method based on InSAR coherence map is proposed in this paper. Firstly, it generates the interferogram and coherence map based on InSAR technique and SAR complex data. Then it gets the information of coastlines through threshold segmentation and edge detection for the coherence map. At last, we choose the ERS-1/2 SAR data to carry out the coastline extraction test. The test proves that it is an effective and accurate approach to extract coastlines from InSAR coherence map.