Insightful Visualization of Remote Sensing Images

Najim, Safa A.; Ahmed, Basaeir Y.

doi:10.1109/lgrs.2022.3228874

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…A functional description of this process can deepen understanding of the steps comprising the visualization process [12][13][14][15]. The visualization process in Equation ( 1) can be visualized as a function Vis that maps between the set of all possible types of raw input data, known as D I , and the set of created images, known as V [16]:…”

Section: Objectives Of This Workmentioning

confidence: 99%

Visualizing and Evaluating Microbubbles in Multiphase Flow Applications

Najim,

Meerakaviyad,

Pun

et al. 2024

Fluids

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Accurate visualization of bubbles in multiphase flow is a crucial aspect of modeling heat transfer, mixing, and turbulence processes. It has many applications, including chemical processes, wastewater treatment, and aquaculture. A new software, Flow_Vis, based on experimental data visualization, has been developed to visualize the movement and size distribution of bubbles within multiphase flow. Images and videos recorded from an experimental rig designed to generate microbubbles were analyzed using the new software. The bubbles in the fluid were examined and found to move with different velocities due to their varying sizes. The software was used to measure bubble size distributions, and the obtained results were compared with experimental measurements, showing reasonable accuracy. The velocity measurements were also compared with literature values and found to be equally accurate.

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Section: Objectives Of This Workmentioning

confidence: 99%

Visualizing and Evaluating Microbubbles in Multiphase Flow Applications

Najim,

Meerakaviyad,

Pun

et al. 2024

Fluids

Self Cite

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“…The rapid advancement of remote sensing technology has established remote sensing imagery as a crucial means for obtaining surface information [1][2][3][4]. Traditional village landscapes, as unique cultural heritages, embody rich historical, cultural, and natural values [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Multi-Resolution Feature Extraction and Fusion for Traditional Village Landscape Analysis in Remote Sensing Imagery

Zhang¹,

Zhang²,

Lü³

et al. 2023

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The complexity and diversity of traditional village landscapes present significant challenges to remote sensing image analysis. Existing methods, such as pixel-level classification, object-based image analysis (OBIA), and deep learning techniques, are often computationally intensive and require powerful hardware support and optimization algorithms. To address these issues, a landscape feature analysis model based on multiresolution feature extraction and fusion with attention pyramid decoding is proposed in this study. By employing multi-scale feature extraction and fusion, this model captures landscape features at various levels and scales, enabling more comprehensive and in-depth analysis of complex remote sensing images. Additionally, the attention pyramid decoding approach adaptively mines spatial and semantic information, enhancing the model's focus on pertinent features and consequently improving classification accuracy. Experimental results confirm the effectiveness of the proposed model for traditional village landscape analysis in remote sensing imagery.

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Insightful Visualization of Remote Sensing Images

Cited by 2 publications

References 12 publications

Visualizing and Evaluating Microbubbles in Multiphase Flow Applications

Visualizing and Evaluating Microbubbles in Multiphase Flow Applications

Multi-Resolution Feature Extraction and Fusion for Traditional Village Landscape Analysis in Remote Sensing Imagery

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