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Research Article
A Multiscale Delayed Channel Attention Network-Based Method for Pansharpening
Dajiang Lei,
Lang Xiao,
Yujia Li,
Hefeng Huang,
Xiaoyu Chen,
Tingting Zhou,
Shixing Ou,
Liping Zhang*
Issue:
Volume 12, Issue 1, June 2024
Pages:
1-13
Received:
15 December 2023
Accepted:
28 December 2023
Published:
21 January 2024
Abstract: Nowadays, remote sensing images are widely used in many fields. To obtain high-quality remote sensing images, remote sensing image fusion methods have attracted much attention. Although convolutional neural network-based pansharpening methods have good results, these methods focus on the forward propagation of the network, which cannot effectively seek the mapping relationship between images. Moreover, it is difficult to obtain global information due to the limitations of convolutional operations. In this paper, we propose a pansharpening method based on multiscale delayed channel attention networks. The method iteratively seeks to correlate high-resolution stage features with the original low-resolution multispectral image, providing a mechanism for error feedback to map the error of each stage. Meanwhile, it designs a multiscale feature fusion module to fuse feature information from different fields of view. The design of the delayed channel attention mechanism makes the network acquire the association relationship between low-frequency information and high-frequency information through adaptive learning, giving different weights to high-frequency information, and making it more flexible in dealing with different types of information. Finally, the feature aggregation module is used to generate fused images and adjust the corresponding feature information. The experimental results obtained from the Gaofen-2 and WorldView-2 experimental data show that the method achieves a significant improvement compared to the current fusion algorithms.
Abstract: Nowadays, remote sensing images are widely used in many fields. To obtain high-quality remote sensing images, remote sensing image fusion methods have attracted much attention. Although convolutional neural network-based pansharpening methods have good results, these methods focus on the forward propagation of the network, which cannot effectively ...
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Research Article
Characterization of Non-Methane Hydrocarbons Fingerprint Prevalence in Urban Areas of Fujairah - UAE Using eNose Sensor Technology
Reem Yaqoub Yousif Ahmed Abdalla,
Aseela Al Moalla,
Mohamed Ateeg,
Muhammed Sirajul Huda Kalathingal,
Shaher Bano Mirza*,
Fouad Lamghari Ridouane
Issue:
Volume 12, Issue 1, June 2024
Pages:
14-17
Received:
3 January 2024
Accepted:
24 January 2024
Published:
5 February 2024
Abstract: Multiple sources influence air quality and regional climate in complicated atmospheric emission situations like urban agglomerations. To resolve pollution plumes and source influences in polluted areas, a comprehensive chemical fingerprinting of sources utilizing non-methane hydrocarbons (NMHCs) and the identification of acceptable tracer molecules and emission ratios is required, in contrast to pristine locations, where reliance on a single or a few chemical tracers is frequently sufficient. We have characterized the prevalence of NMHCs fingerprints in the urban areas and quantified the correlation of windspeed with the concentration of these pollutants. eNose sensors and Air quality management stations provide the data to identify the emission sources of such pollutants. Based on our analysis, the average NMHC concentration in 2021 has been recorded 0.424 ppm at point 1 AQMS whereas at point 2 AQMS it was 0.256 ppm. Such outcomes could be attributed to the proximity of emissions sources, the direction and speed of the wind, or both. Moreover, traffic can be a major contributor to pollution levels in any urban area. More research based on a larger dataset is required before definitive conclusions can be drawn, and viable solutions can be proposed.
Abstract: Multiple sources influence air quality and regional climate in complicated atmospheric emission situations like urban agglomerations. To resolve pollution plumes and source influences in polluted areas, a comprehensive chemical fingerprinting of sources utilizing non-methane hydrocarbons (NMHCs) and the identification of acceptable tracer molecules...
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Research Article
Assessing the Results of Satellite Positioning for Geodetic Network Points with Different Observation Sessions
Sobhy Abdel Monam Younes*
Issue:
Volume 12, Issue 1, June 2024
Pages:
18-23
Received:
27 March 2024
Accepted:
16 April 2024
Published:
30 May 2024
Abstract: Nowadays, static satellite observations are widely used in many fields. To obtain high measurement accuracy, the static satellite observations of the geodetic network have been carried out using one and two base stations. This study is important due to the lack of information on whether using several base stations impacts measurement accuracy. In addition, the dependence of the measurement accuracy of different lengths of the geodetic network lines on the observation time is investigated. Direct measurements have been carried out on the territory of Egypt, where the development of a geodetic network of the National Agricultural Cadastral Network (NACN) is a burning issue. The observations were conducted using Trimble R10 dual-frequency receivers based on specific schemes. In the case of using one base station, all the lines that connect the nearest points to the station were calculated. In the case where two stations were being used, the observations were carried out simultaneously on three points, including the base points. The third point is the closest point to the baseline. The other three points were determined as follows: two points had been taken from the previous triangle; and the one that was the nearest one to the line formed by the first two points, etc. The analysis of the results shows that if only one station is used, it takes at least 3–4 hours to make measurements that are precise up to a centimeter. The use of two base stations can reduce measurement time by two hours. Additionally, these studies can help select satellite positioning technology based on the equipment available.
Abstract: Nowadays, static satellite observations are widely used in many fields. To obtain high measurement accuracy, the static satellite observations of the geodetic network have been carried out using one and two base stations. This study is important due to the lack of information on whether using several base stations impacts measurement accuracy. In a...
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Review Article
Infrared–Resin Crack Measurement and Preventive Work Technology for Maintenance
Issue:
Volume 12, Issue 1, June 2024
Pages:
24-32
Received:
24 April 2024
Accepted:
16 May 2024
Published:
3 June 2024
Abstract: The use of thermography as a nondestructive evaluation technique is increasingly popular for maintaining concrete structures. Most inspections merely evaluate the locations and shapes of defects on surfaces. To address this shortcoming, it proposes an inspection method and preventive work using a coating-type resin sensor combined with an infrared camera. No method has been developed to assess the depth of defects. In this approach, infrared-reactive resin is applied. Thermographic images of the target area are captured sequentially. Temperature curves obtained at each pixel during the cooling process are analyzed using Fourier transform to differentiate defect states in various parts of the temperature distribution. The temperature change is found to be correlated with the defect size. Approximately 5% aluminum powder is mixed into the applied gel resin. Because of its specific gravity, it tends to concentrate in areas damaged by compression failure or to float. This report discusses technologies related to identification of defects and measuring their size in infrared-reactive resin, with examination of the effectiveness of measures to prevent scattering and collapse of defects caused by structural degradation. A concentric loading test on reinforced concrete columns confined by gel resin ties is described herein. Test variables include concrete compressive strength of 232–244 N/mm2, both below and above the equipment hole that caused the defect, and to measure the relation, a comparison with test specimens that are free of defects.
Abstract: The use of thermography as a nondestructive evaluation technique is increasingly popular for maintaining concrete structures. Most inspections merely evaluate the locations and shapes of defects on surfaces. To address this shortcoming, it proposes an inspection method and preventive work using a coating-type resin sensor combined with an infrared ...
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