Underwater images quality improvement techniques for feature extraction based on comparative analysis for species classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-12535-6.pdf
Reference19 articles.
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2. Chen Y, Jiang H, Li C, Jia X, Ghamisi P (2016) Deep feature extraction and classification of hyperspectral images based on convolutional neural networks. IEEE Trans Geosci Remote Sens 54(10):6232–6251
3. Gao S-B et al (2019) Underwater image enhancement using adaptive retinal mechanisms. IEEE Trans Image Process 28(11):5580–5595
4. Iqbal N, Ali S, Khan I, Lee BM (2019) Adaptive edge preserving weighted mean filter for removing random-valued impulse noise. Symmetry 11(3):395–402
5. Li Y, Lu H, Li J, Li X, Li Y, Serikawa S (2016) Underwater image de-scattering and classification by deep neural network. Comput Electr Eng 54:68–77
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