An improved tile-based scalable distributed management model of massive high-resolution satellite images

Hajjaji, Yosra; Boulila, ‪Wadii; Farah, Imed Riadh

doi:10.1016/j.procs.2021.09.065

Cited by 8 publications

(2 citation statements)

References 25 publications

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“…3 shows how a DEM with a pixel size of 2048×2048 is converted into a tile pyramid with a tile size of 512×512 and stored in the HDFS. First, the tile pyramid is generated from the source DEM with a tile size of 512×512px; subsequently, the tiles of each layer are filled using a Z-order curve [29] or Hilbert curve [29,30]. Finally, the tile data and pyramid layer information are serialised and stored in HDFS.…”

Section: A Tile Pyramid Generation and Storagementioning

confidence: 99%

A Fast Large-Scale Path Planning Method on Lunar DEM Using Distributed Tile Pyramid Strategy

Hong

Tong

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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In lunar exploration missions, path planning for lunar rovers using digital elevation models (DEMs) is currently a hot topic in academic research. However, research on path planning using large-scale DEMs has rarely been discussed, owing to the low time efficiency of existing algorithms. Therefore, in this study, we propose a fast path-planning method using a distributed tile pyramid strategy and an improved A* algorithm. The proposed method consists of three main steps. First, the tile pyramid is generated for the large lunar DEM and stored in Hadoop distributed file system. Second, a distributed path-planning strategy based on tile pyramid (DPPS-TP) is used to accelerate path-planning tasks on large-scale lunar DEMs using Spark and Hadoop. Finally, an improved A* algorithm was proposed to improve the speed of the pathplanning task in each tile. The method was tested using lunar DEM images. Experimental results demonstrate that: (1) in a single-machine serial strategy using source DEM generated by the Chang'e-2 CCD stereo camera, the proposed A* algorithm for Open List and Closed List with random access feature (OC-RA-A* algorithm) is 3.59 times faster than the traditional A* algorithm in long-distance path planning tasks; (2) compared to the distributed parallel computation strategy using source DEM generated by the Chang'e-2 CCD stereo camera, the proposed DPPS-TP based on tile pyramid DEM is 113.66 times faster in the long-range path planning task.

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Section: A Tile Pyramid Generation and Storagementioning

confidence: 99%

A Fast Large-Scale Path Planning Method on Lunar DEM Using Distributed Tile Pyramid Strategy

Hong

Tong

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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show abstract

“…Face with the explosive growth of digital image data, the traditional stand-alone mode of image processing has exposed many problems, such as slow processing speed and poor concurrency, etc. [7][8][9][10][11][12]. Therefore, the traditional image processing mode has gradually failed to meet the needs of users.…”

Section: Introductionmentioning

confidence: 99%

Rapid Classification of Massive Images Based on Cloud Computing Platform

Wang¹,

Cao²

2023

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With the continuously increasing requirement of data processing speed, it is more and more suitable for images to be processed on cloud computing platform with distributed parallel computing. Therefore, this paper studied the rapid classification of massive images based on cloud computing platform. The multi-mode information fusion of massive images was carried out, which gave the implementation steps of the proposed massive image fusion method based on information complementation. This paper proposed to classify the massive images based on salient interactive feedback network. The model constructed in this paper not only simplified the complicated network parameter initialization and tuning process, but also avoided the classification failure caused by the scarcity of labeled images, which is more suitable for application and practical application scenarios. The experimental results verified the effectiveness of the constructed model in rapidly classifying massive images.

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Leveraging Artificial Intelligence Techniques for Smart Palm Tree Detection: A Decade Systematic Review

Hajjaji

Boulila²,

Farah³

2022

Procedia Computer Science

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An improved tile-based scalable distributed management model of massive high-resolution satellite images

Cited by 8 publications

References 25 publications

A Fast Large-Scale Path Planning Method on Lunar DEM Using Distributed Tile Pyramid Strategy

A Fast Large-Scale Path Planning Method on Lunar DEM Using Distributed Tile Pyramid Strategy

Rapid Classification of Massive Images Based on Cloud Computing Platform

Leveraging Artificial Intelligence Techniques for Smart Palm Tree Detection: A Decade Systematic Review

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