A multi-resolution model of vector map data for rapid transmission over the Internet

2005 ◽  
Vol 31 (5) ◽  
pp. 569-578 ◽  
Author(s):  
Bisheng Yang
2015 ◽  
Vol 18 (7) ◽  
pp. 818-826 ◽  
Author(s):  
N.V. Bang ◽  
Kwang-Seok Moon ◽  
Sanghun Lim ◽  
Suk-Hwan Lee ◽  
Ki-Ryong Kwon

2019 ◽  
Vol 9 (22) ◽  
pp. 4889 ◽  
Author(s):  
Pham ◽  
Ngo ◽  
Bui ◽  
Tran ◽  
Lee ◽  
...  

In recent years, GIS (Geographical Information System) vector maps are widely used in everyday life, science, and the military. However, the production process of vector maps is expensive, and a large volume of vector map data is easily stolen and illegally distributed. Therefore, original providers desire an encryption solution to encrypt GIS vector map data before being stored and transmitted in order to prevent pirate attacks and to ensure secure transmission. In this paper, we propose an encryption algorithm for GIS vector map data for preventing illegal copying, and ensuring secured storage and transmission. Polyline/polygon data of GIS vector maps are extracted to compute a backbone object. The backbone object is then selectively simplified by the multi-scale simplification algorithm in order to determine the feature vertices of the backbone object. The feature vertices of the backbone object are encrypted by the advanced encryption standard and the secret key. Finally, all vertices of the backbone object are randomized by the random Gaussian distribution algorithm to obtain the encrypted GIS vector map. Experimental results show that the entire map is altered completely after the encryption process. The proposed method is responsive to the various GIS vector map data formats, and also provides better security than previous methods. The computation time of the proposed method is also significantly shorter than that of previous methods.


Author(s):  
Suk-Hwan LEE ◽  
Won-Joo HWANG ◽  
Jai-Jin JUNG ◽  
Ki-Ryong KWON
Keyword(s):  

2000 ◽  
Vol 53 (3) ◽  
pp. 437-449 ◽  
Author(s):  
Juliette W. Ioup ◽  
Marlin L. Gendron ◽  
Maura C. Lohrenz

This paper was first presented at a Symposium on ‘Advanced Moving-Map Displays’ held on the 3rd and 4th of August 1999 by the US Naval Research Laboratory Detachment at the NASA Stennis Space Centre, Mississippi, and is reproduced in modified form with the kind permission of the NRL Commanding Officer, Captain Douglas H. Rau USN.Wavelets and wavelet transforms can be used for vector-map data compression. The choice of wavelet, the level of decomposition, the method of thresholding, the height of the threshold, relative CPU times and file sizes, and reconstructed map appearance were investigated using the Wavelet Toolbox of MATLAB. Quantitative error measures were obtained. For two test vector-map data sets consisting of longitude and latitude points, compressions of 35 to 50 percent (1·5[ratio ]1 to 2[ratio ]1) were obtained with root-mean-square errors less than 0·003 to 0·01° longitude/latitude for wavelet packet decompositions using selected wavelets.


2014 ◽  
Vol 25 ◽  
pp. 224-243 ◽  
Author(s):  
Bong-Joo Jang ◽  
Suk-Hwan Lee ◽  
Ki-Ryong Kwon

2014 ◽  
Vol 886 ◽  
pp. 706-710 ◽  
Author(s):  
Bai Yan Wu ◽  
Wei Wang

This paper explored the applied technology in vector map data watermarking and proposes a blind and shape-preserving watermarking model by inserting the watermark information into the curve shape characteristic set using quantized index modulation (QIM) based on variable quantization step. At the same time, the watermark bits scatter across the whole dataset by Hash mapping and bits repeated insertion. Results show that the curve shape distortions have been well controlled, and Robustness to the threatening watermark attacks, such as vertex attack, data simplification, feature deletion and so on, has been proved.


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