scholarly journals Three dimensional terrain data compression using second generation wavelets

2007 ◽  
Author(s):  
B. Pradhan ◽  
S. Mansor
Keyword(s):  
Data Compression ◽  
Second Generation ◽  
Three Dimensional ◽  
Second Generation Wavelets

Second generation wavelets based GIS terrain data compression using Delaunay triangulation

2007 ◽  
Vol 24 (2) ◽  
pp. 200-213 ◽  
Author(s):  
B. Pradhan ◽  
K. Sandeep ◽  
Shattri Mansor ◽  
Abdul Rahman Ramli ◽  
Abdul Rashid B. Mohamed Sharif
Keyword(s):  
Data Compression ◽  
Delaunay Triangulation ◽  
Second Generation ◽  
Second Generation Wavelets

Microstructures of Low Angle Boundaries of the Second Generation Single Crystal Superalloy DD6

2011 ◽  
Vol 284-286 ◽  
pp. 1584-1587
Author(s):  
Zhen Xue Shi ◽  
Jia Rong Li ◽  
Shi Zhong Liu ◽  
Jin Qian Zhao
Keyword(s):  
Electron Microscope ◽  
High Resolution ◽  
Scanning Electron Microscope ◽  
Thin Layer ◽  
Single Crystal ◽  
Second Generation ◽  
Three Dimensional ◽  
Single Crystal Superalloy ◽  
Transition Electron ◽  
Scanning Electron

The specimens of low angle boundaries were machined from the second generation single crystal superalloy DD6 blades. The microstructures of low angle boundaries (LAB) were investigated from three scales of dendrite, γ′ phase and atom with optical microscopy (OM), scanning electron microscope (SEM), transition electron microscope (TEM) and high resolution transmission electrion microscopy (HREM). The results showed that on the dendrite scale LAB is interdendrite district formed by three dimensional curved face between the adjacent dendrites. On the γ′ phase scale LAB is composed by a thin layer γ phase and its bilateral imperfect cube γ′ phase. On the atom scale LAB is made up of dislocations within several atom thickness.

scholarly journals Three-Dimensional Magnetic Inversion Based on an Adaptive Quadtree Data Compression

2020 ◽  
Vol 10 (21) ◽  
pp. 7636
Author(s):  
Dandan Jiang ◽  
Zhaofa Zeng ◽  
Shuai Zhou ◽  
Yanwu Guan ◽  
Tao Lin ◽  
...  
Keyword(s):  
Data Compression ◽  
Large Scale ◽  
Mineral Exploration ◽  
Three Dimensional ◽  
Original Data ◽  
Magnetic Data ◽  
The Best Approximation ◽  
Magnetic Inversion ◽  
Iterative Inversion ◽  
Computationally Intensive

Three-dimensional magnetic inversion allows the distribution of magnetic parameters to be obtained, and it is an important tool for geological exploration and interpretation. However, because of the redundancy of the data obtained from large-scale investigations or high-density sampling, it is very computationally intensive to use these data for iterative inversion calculations. In this paper, we propose a method for compressing magnetic data by using an adaptive quadtree decomposition method, which divides the two-dimensional data region into four quadrants and progressively subdivides them by recursion until the data in each quadrant meets the regional consistency criterion. The method allows for dense sampling at the abnormal boundaries with large amplitude changes and sparse sampling at regions with small amplitude changes, and achieves the best approximation to the original data with the least amount of data, thus retaining more anomalous information while achieving the purpose of data compression. In addition, assigning values to the data in the quadrants using the averaging method is essentially equivalent to average filtering, which reduces the noise of the magnetic data. Testing the synthetic model and applying the method to mineral exploration a prove that it can effectively compress the magnetic data and greatly improve the computational efficiency.

Despeckling of TerraSAR-X Data Using Second-Generation Wavelets

2010 ◽  
Vol 7 (1) ◽  
pp. 68-72 ◽  
Author(s):  
Dusan Gleich ◽  
Matej Kseneman ◽  
Mihai Datcu
Keyword(s):  
Second Generation ◽  
Second Generation Wavelets
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