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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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| File | Description | Size | Format | |
|---|---|---|---|---|
| Satellite image analysis in health care a systematic review 2024.pdf Restricted Access | 156.17 kB | Adobe PDF | View/Open Request a copy |
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