Predicting the Number of DCT Coefficients in the Process of Seabed Data Compression

Forczmański, Paweł; Maleika, Wojciech

doi:10.1007/978-3-319-23192-1_7

Cited by 4 publications

(3 citation statements)

References 24 publications

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“…The processing time for DTM generation and presentation is not only decided by the computational efficiency of DTM generation algorithms, but also decided by the memory storage demands for increasing in data volume. As a result, growing research emphasis has been put on the design and validation of DTM compression methods [ 86 , 87 , 88 , 89 , 90 ]. Mandlburger et al [ 86 ] proposed an adaptive TIN refinement approach for data thinning and the experiments proved that the compression rate for DTMs generated in varying landscapes all exceeded 80%.…”

Section: Discussionmentioning

confidence: 99%

“…Mandlburger et al [ 86 ] proposed an adaptive TIN refinement approach for data thinning and the experiments proved that the compression rate for DTMs generated in varying landscapes all exceeded 80%. By predicting the number of Discrete Cosine Transform (DCT) Coefficients, Forczmanski and Maleika [ 87 ] reduced the processing time for seabed DTM compression by 40%. Based on the predicted number of DCT coefficients, Forczmanski and Maleika [ 88 ] further developed a near-lossless principal component analysis (PCA)-based compression algorithm.…”

Section: Discussionmentioning

confidence: 99%

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State-of-the-Art: DTM Generation Using Airborne LIDAR Data

Chen

Gao

Devereux

2017

Sensors

165

120

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Digital terrain model (DTM) generation is the fundamental application of airborne Lidar data. In past decades, a large body of studies has been conducted to present and experiment a variety of DTM generation methods. Although great progress has been made, DTM generation, especially DTM generation in specific terrain situations, remains challenging. This research introduces the general principles of DTM generation and reviews diverse mainstream DTM generation methods. In accordance with the filtering strategy, these methods are classified into six categories: surface-based adjustment; morphology-based filtering, triangulated irregular network (TIN)-based refinement, segmentation and classification, statistical analysis and multi-scale comparison. Typical methods for each category are briefly introduced and the merits and limitations of each category are discussed accordingly. Despite different categories of filtering strategies, these DTM generation methods present similar difficulties when implemented in sharply changing terrain, areas with dense non-ground features and complicated landscapes. This paper suggests that the fusion of multi-sources and integration of different methods can be effective ways for improving the performance of DTM generation.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

State-of-the-Art: DTM Generation Using Airborne LIDAR Data

Chen

Gao

Devereux

2017

Sensors

165

120

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“…The methods that are adapted to the specific characteristics of depth data (often working in the spectral domains) yield higher compression ratios, but they work on regular, uniform grid data. In previous work, we investigated near-lossless compression methods based on discrete cosine transform (DCT) [23], wavelets [24] and principal component analysis (PCA) [25,26]. As a comparison, below in Table 6, the compression ratios for exactly the same benchmark surfaces, compressed with other methods are presented.…”

Section: Comparison With Other Methodsmentioning

confidence: 99%

A Multiresolution Grid Structure Applied to Seafloor Shape Modeling

Maleika

Koziarski

Forczmański

2018

IJGI

Self Cite

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This paper proposes a method of creating a multiresolution depth grid containing bathymetric data describing a stretch of sea floor. The included literature review presents current solutions in the area of the creation of digital terrain models (DTMs) focusing on methods employing regular grids, with a discussion on the strong and weak points of such an approach. As a basis for the investigations, some important recommendations from the International Hydrographic Organization are provided and are related to the accuracy of created models. The authors propose a novel method of storing DTM data, involving multiresolution depth grids. The paper presents the characteristics of this method, numerical algorithms of a conversion between a regular grid and the multiresolution one, and experiments on typical seafloor surfaces. The results are discussed, focusing on the data reduction rate and the variable resolution of the grid structure. The proposed method can be applied in Geographical Information Systems, especially for the purposes of solving sea survey problems.

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Steganography: Camouflaging Sensitive and Vulnerable Data

Mukherjee

Sanyal

2021

Artificial Intelligence for a Sustainable Industry 4.0

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Predicting the Number of DCT Coefficients in the Process of Seabed Data Compression

Cited by 4 publications

References 24 publications

State-of-the-Art: DTM Generation Using Airborne LIDAR Data

State-of-the-Art: DTM Generation Using Airborne LIDAR Data

A Multiresolution Grid Structure Applied to Seafloor Shape Modeling

Steganography: Camouflaging Sensitive and Vulnerable Data

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