Assessment of DSM Based on Radiometric Transformation of UAV Data

Chaudhry, Muhammad Hamid; Ahmad, Anuar; Gulzar, Qudsia; Farid, Muhammad Shahid; Shahabi, Himan; Al‐Ansari, Nadhir

doi:10.3390/s21051649

Cited by 16 publications

(8 citation statements)

References 52 publications

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“…Indicators. The image quantitative evaluation index used in this study is the evaluation method proposed by Chaudhry et al (2021) [15], distribution separation measurement (DSM). When the DSM result is negative, it indicates that the contrast of the image is not enhanced, and when the DSM result is positive, it indicates 3 Computational and Mathematical Methods in Medicine that the image is enhanced, and the greater the DSM value, the better the contrast enhancement effect of the image.…”

Section: Image Evaluationmentioning

confidence: 99%

Intelligent Enhancement Algorithm-Based High Resolution CT Image in Evaluation of Expelling Wind and Relieving Cough and Asthma Prescription on Bronchial Asthma with High Immunoglobulin E Expression

Shen

Chen

2022

Computational and Mathematical Methods in Medicine

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The therapeutic effect of expelling wind and relieving cough and asthma prescription on bronchial asthma with high immunoglobulin E (IgE) expression was studied based on high resolution CT (HRCT) images of intelligent enhancement algorithm. 90 patients with bronchial asthma were randomly divided into control group ( n = 45 ) and therapy group ( n = 45 ). The control group was given budesonide inhalation. The therapy group was treated with expelling wind and relieving cough and asthma prescription on the basis of the treatment in the control group. Both groups were given 1 month of treatment time. The scanned images were processed by image enhancement algorithm, and the image quality and distribution separation measurement (DSM) were used as image evaluation indicators. The bronchial wall thickness (WT), inner diameter (L), wall area (WA), and percentage of wall area (WA%) were used as quantitative indicators of airway remodeling. The changes of traditional Chinese medicine (TCM) score before and after treatment were recorded and analyzed. The changes of serum IgE indicators before and after treatment were recorded. Results: the image quality of HRCT image enhancement algorithm was better, and the DSM was 36.7 larger than that of the control group. It was found that after 1 month of treatment, the TCM symptom score of the therapy group was lower than that of the control group ( P < 0.05 ), and compared with the control group, the IgE level of the therapy group was also reduced. Meanwhile, compared with the control group, the WT of segmental bronchial wall in the therapy group decreased, and the WT of left apical bronchus was smaller than that in the control group ( P < 0.05 ), and the WT of subsegmental bronchus decreased significantly ( P < 0.05 ). The L of segmental bronchus and subsegmental bronchus in the therapy group was wider ( P < 0.05 ). The WA of segmental bronchus and subsegmental bronchus decreased, but there was no statistical significance ( P > 0.05 ). Compared with the control group, the WA percentage of segmental bronchus and the WA percentage of subsegmental bronchus in the therapy group were significantly lower ( P < 0.05 ). In conclusion, image enhancement algorithm can improve the HRCT image quality of patients with bronchial asthma, which is helpful to improve the diagnostic efficiency in clinical treatment. Expelling wind and relieving cough and asthma prescription has a better therapeutic effect on bronchial asthma with high IgE expression.

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Section: Image Evaluationmentioning

confidence: 99%

Intelligent Enhancement Algorithm-Based High Resolution CT Image in Evaluation of Expelling Wind and Relieving Cough and Asthma Prescription on Bronchial Asthma with High Immunoglobulin E Expression

Shen

Chen

2022

Computational and Mathematical Methods in Medicine

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“…DSM is one of the leading products of drone surveying. Actually, a DSM shows the topographic variations with all associated natural and artificial entities in a raster data model ( 36 ). By comparing Figures 7 a and b , and by taking a closer look at Figure 7 a , it can be seen that the moving vehicles are eliminated automatically in the step of DSM generation.…”

Section: Resultsmentioning

confidence: 99%

Comparison of Smartphone-Based and Drone-Based Approaches for Assessing Road Roughness

Afsharnia

Ghavami

2023

Transportation Research Record: Journal of the Transportation R

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Continuous road-pavement condition monitoring is essential to maintain the effectiveness and performance of road infrastructure. It also helps to optimize resource allocation and prioritization for pavement rehabilitation programs. The traditional methods that have been used for assessing road pavement condition are high cost and time consuming. Contrary to conventional methods, low-cost and new emerging technologies such as smartphones and drones can be used. The study aims to investigate the merits of using two different types of device for assessing road roughness: the smartphone as a response-type and the drone as a non-contact-type device. To this end, firstly, linear vertical acceleration data is collected by using a smartphone that is mounted on a car dashboard. Then, the collected data is used for calculating vertical displacement data using a fast Fourier transform. The displacement data is used for calculating international roughness index (IRI) as a measure of road roughness. Secondly, a drone flies over the studied road to construct a 3D model, extract the longitudinal profile, and eventually calculate the accurate IRI values of the road. Finally, the results of the approaches above will be compared with the results of a road surface profiler (RSP) as a reference method. Although the results reveal a significant correlation (above 0.8) of both methods with the RSP method, from an operational point of view, the smartphone was more cost and time effective, and also an easy-to-use approach for the purpose.

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“…When compared to the centimeter-level accuracy of UAV photogrammetry and MLS, the 3D data from the Topcon GLS-2000 scanner (mm level) is sufficient to serve as a reference point cloud (Abbas et al, 2021). The spectral response of various features can be used to modify the weights of R, B, and G (Chaudhry et al, 2021). The spatial resolution of the photos is directly linked to how well the model works (Jakovljevic et al, 2020;Xu et al, 2020).…”

Section: Uav and Computer Visionmentioning

confidence: 99%

Unmanned Aerial Vehicle Photogrammetric Products Accuracy Assessment: A Review

Rabiu

Ahmad²

2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Digital photogrammetry is an effective way for gathering data for DEM extraction, and recent advances in recording techniques and data processing have allowed for higher resolution and faster rapid generation of photogrammetric 3D models result. The model has a spatial and spectral high-resolution advantage with good geometrical positioning accuracy. The DEM quality is the primary requirement for any application and must satisfy users’ requirement. The DEM quality is usually affected by several factors during acquisition and processing stages. Considerable researches have been conducted on several parameters influencing the DEM accuracy. The review focused on discussions on topics related to unmanned aerial vehicle DEM accuracy assessment. Five parameters were considered: UAV technology; UAV Georeferencing; UAV and computer vision; UAV and LiDAR; and UAV flight parameters. Summary of the methods, their strength, weakness and regions of the most recent articles are presented. Based on this review conclusion was drawn on the UAV DEM accuracy challenging issues that need more attention from the geospatial community and suggestions for future work are offered. But there might be other possible factors that are not treated in this paper.

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Assessment of DSM Based on Radiometric Transformation of UAV Data

Cited by 16 publications

References 52 publications

Intelligent Enhancement Algorithm-Based High Resolution CT Image in Evaluation of Expelling Wind and Relieving Cough and Asthma Prescription on Bronchial Asthma with High Immunoglobulin E Expression

Intelligent Enhancement Algorithm-Based High Resolution CT Image in Evaluation of Expelling Wind and Relieving Cough and Asthma Prescription on Bronchial Asthma with High Immunoglobulin E Expression

Comparison of Smartphone-Based and Drone-Based Approaches for Assessing Road Roughness

Unmanned Aerial Vehicle Photogrammetric Products Accuracy Assessment: A Review

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