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Evaluating the Uncertainty of Classification Due to Image Resizing Techniques for Satellite Image Classification
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“Therefore, selecting the appropriate image resolution for TWIST involves balancing the desired analysis with the available computational resources, as higher resolutions require significant processing time and power.81”
From SEMTWIST Quantification of Biofilm Infection in Human Chronic Wound Using Scanning Electron Microscopy and Machine Learning (2025) · cites this paper as [81]
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Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
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Cited by
Sorted by citations
Singh, S., Muniz De Oliveira, F., Wang, C., Kumar, M., Xuan, Y., DeMazumder, D., Sen, C. K., & Roy, S. (2025) · Advances in Wound Care · doi:10.1089/wound.2024.0291 · Cited by 6
Metadata
- Authors
- Rathee, N., Pahal, S., & Sheoran, D.
- Venue
- MAPAN
- Published
- 2021-05-28
- Volume
- 36
- Issue
- 2
- Pages
- 243-251
- ISSN
- 0970-3950
- 0974-9853
- Cited by
- 8
- References
- 1
- Language
- en
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- Rathee, N., Pahal, S., & Sheoran, D. (2021). Evaluating the Uncertainty of Classification Due to Image Resizing Techniques for Satellite Image Classification. MAPAN. https://doi.org/10.1007/s12647-021-00456-y