Influence of lossy data compression on satellite for terrain elevation measurement

Author(s):  
K. Fukue ◽  
H. Shimoda ◽  
T. Sakata ◽  
R. Matsuoka
Fractals ◽  
2000 ◽  
Vol 08 (02) ◽  
pp. 205-214 ◽  
Author(s):  
JEN-CHUNG CHEN ◽  
TZONG-YEANG LEE

Many natural phenomena of equal-time and/or equal-space interval have been recorded. They exhibited features at many different scales of measurement — suggesting that they could be described as fractals. Two observed terrain elevation data were selected for this study. On the condition that data number was reduced properly, we used the fractal interpolation technique to reconstruct the "original" profile. The random mode was adopted for reducing the measured data. The variations of profiles compared with different ratios of data reduction and several statistics (as the first four moments) were used to test their overall properties. When data compression was as high as 70%, a resembling appearance by means of fractal reconstruction continued to exist. Its excellence appeared on the texture of profile and magnification of visualization.


2017 ◽  
Vol 70 (5) ◽  
pp. 1062-1078 ◽  
Author(s):  
Ye Li ◽  
Teng Ma ◽  
Rupeng Wang ◽  
Pengyun Chen ◽  
Qiang Zhang

A method is proposed for improving the accuracy and self-consistency of bathymetric maps built using an Autonomous Underwater Vehicle (AUV) to create precise prior maps for Terrain-Aided Navigation (TAN), when the Global Positioning System (GPS) or another precise location method is unavailable. This method consists of front-end and back-end. For the front-end, the AUV predicts the measurement of the bathymetry system through Terrain Elevation Measurement Extrapolation Estimation (TEMEE) and calculates the likelihood function using real measurements. After the final Inertial Navigation System (INS) error is obtained by communicating with sensor nodes, the process enters the back-end. A Terrain Correlation Correction Method (TCCM) and an Improved Terrain Correlation Correction Method (ITCCM) are proposed to solve the gradual distribution of the final INS error to each point on a path, and the accuracy of ITCCM was confirmed experimentally. Finally, a TAN simulation experiment was conducted to prove the importance and necessity of map correction using ITCCM. ITCCM was proven to be an effective and important method for correcting maps built using an AUV.


2001 ◽  
Author(s):  
Kiyonari Fukue ◽  
Ryuji Matsuoka ◽  
Haruhisa Shimoda ◽  
Toshibumi Sakata

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