• ROHIT ASHOK PALVE
• MAYURESH KRISHNA GHODKE

Based on data from remote sensing (RS), change detection is a vital technique for identifying changes on Earth's surface. It finds extensive use in urban planning, environmental monitoring, agricultural research, disaster assessment, and map revision. Developing novel techniques for change detection has made integrated artificial intelligence (AI) technology a focus of research in recent years. It's not immediately clear how and to what extent artificial intelligence (AI) can enhance change detection effectiveness, despite some researchers' claims that AI-based systems beat traditional approaches. This review centers on the most recent developments, uses, and difficulties in artificial intelligence for change detection. In particular, the first step of the AI-based change detection implementation method is presented. Next, the accessible open datasets are mentioned together with the data from various sensors used for change detection, such as optical remote sensing (RS), synthetic aperture radar (SAR), street view photos, and merged heterogeneous data. The general frameworks of AI-based change detection techniques are examined and thoroughly examined, and an in-depth analysis is conducted on the unsupervised schemes employed in AI-based change detection. The frequently utilized networks in AI for change detection are then explained. The application domains of AI-based change detection techniques are categorized according to their practical suitability. The main issues surrounding AI for change detection are finally explored and outlined. These issues include (a) heterogeneous big data processing, (b) unsupervised AI, and (c) AI reliability. Researchers will find this review useful in comprehending this field

"Change Detection Based on Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.a77-a90, June-2024, Available :http://www.jetir.org/papers/JETIR2406010.pdf

"Change Detection Based on Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppa77-a90, June-2024, Available at : http://www.jetir.org/papers/JETIR2406010.pdf