Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/126111
Title: Satellite image analysis in health care — a systematic review
Other Titles: Advances in data-driven computing and intelligent systems ADCIS 2023
Authors: Pawar, Bhushan
Prakash, Vijay
Garg, Lalit
Galdies, Charles
Buttigieg, Sandra C.
Calleja, Neville
Keywords: Remote-sensing images -- Medical applications
Artificial satellites in earth sciences
Remote sensing -- Data processing
Public health -- Technological innovations
Geospatial data -- Computer processing
Issue Date: 2024
Publisher: Springer
Citation: Pawar, B., Prakash, V., Garg, L., Galdies, C., Buttigieg, S., & Calleja, N. (2024). Satellite Image Analysis in Health Care—A Systematic Review. In S. Das, S. Saha, C.A. Coello Coello, & J.C. Bansal (Eds.), Advances in Data-Driven Computing and Intelligent Systems. ADCIS 2023. Lecture Notes in Networks and Systems, vol. 892 (pp. 227–238). Singapore: Springer.
Abstract: Rapid urbanization, population expansion, and escalating pollution levels have given rise to novel environmental concerns that demand the application of creative, analytical methodologies and diverse data sources. To ensure efficient urban ecological management, it is crucial to consider three levels of phenomena: the environmental system, the physical environment, and the regional surroundings. Utilizing remote sensing data is a viable avenue for enhancing the global environment due to its convenient accessibility and ability to measure crucial physical features regularly. The primary objective of this research study is to ascertain and evaluate suitable methods for analyzing satellite imagery in the healthcare context. The study’s aims encompass examining the diverse array of tools accessible in the market, scrutinizing the characteristics of each device, exploring research papers that have employed these tools, and classifying the tools into open-source and commercial classifications. This study emphasizes the parameters associated with feature extraction and picture enhancement in satellite imagery, as these factors hold significant importance in the analysis of images.
URI: https://www.um.edu.mt/library/oar/handle/123456789/126111
Appears in Collections:Scholarly Works - FacHScHSM

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