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Because of this reactivity to precipitation, temperature, topography, and human activity, the atmospheric boundary layer (ABL) is one of the most dynamic atmospheric regions: ABL aerosols have a big impact on the evolution of climate change\u2019s radiative forcing, human health, food security, and, eventually, the local and global economy. Continuous monitoring and instrumental and computational approaches are required for the detection and analysis of ABL pattern behavior. This paper provides a deep learning-based outer layer aerosol detection system based on Light Detection and Ranging (LiDAR) data fusion. The suggested method applies sequential models to turn low-level data into compressed features using object-based analysis, feature-level fusion, and autoencoder-based dimensionality reduction. Convolutional neural networks (CNNs) were used to convert compressed data into high-level properties that could be used to categorize air particles in the outer layer. This research describes deep learning approaches that allowed for detecting 40% more atmospheric features at a horizontal resolution of 5\u2009km during daytime operations when applied to LiDAR data. Compared to existing deep learning algorithms for edges and complicated near-surface sceneries during the day, a convolutional autoencoder (CAE) trained using LiDAR dataset standard data products showed the potential for improved aerosol discrimination with 98% accuracy.<\/jats:p>","DOI":"10.1155\/2022\/3690312","type":"journal-article","created":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T21:05:15Z","timestamp":1654117515000},"page":"1-17","source":"Crossref","is-referenced-by-count":12,"title":["Convolutional Autoencoder-Based Deep Learning Approach for Aerosol Emission Detection Using LiDAR Dataset"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3729-8843","authenticated-orcid":true,"given":"Mazhar","family":"Hameed","sequence":"first","affiliation":[{"name":"School of Information and Communication Engineering, North University of China, Taiyuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9087-5796","authenticated-orcid":true,"given":"Fengbao","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Information and Communication Engineering, North University of China, Taiyuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sibghat Ullah","family":"Bazai","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Balochistan University of Information Technology, Engineering, and Management Sciences, Quetta, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad Imran","family":"Ghafoor","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Superior University, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Alshehri","sequence":"additional","affiliation":[{"name":"Department of Computer Science Applied College University of Tabuk Saudi Arabia, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2056-9371","authenticated-orcid":true,"given":"Ilyas","family":"Khan","sequence":"additional","affiliation":[{"name":"Department of Mathematics, College of Science Al-Zulfi, Majmaah University, Al-Majmaah 11952, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shafi","family":"Ullah","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Balochistan University of Information Technology, Engineering, and Management Sciences, Quetta, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehmood","family":"Baryalai","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Balochistan University of Information Technology, Engineering, and Management Sciences, Quetta, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fawwad Hassan","family":"Jaskani","sequence":"additional","affiliation":[{"name":"Department of Computer Systems Engineering, The Islamia University of Bahawalpur, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3587-8481","authenticated-orcid":true,"given":"Mulugeta","family":"Andualem","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Bonga University, Bonga, Ethiopia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.3390\/s20123568"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.3390\/rs11121459"},{"key":"3","first-page":"1","article-title":"CNNs for interference mitigation and denoising in automotive radar using real-world data","author":"J. 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