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REFERENCES

1 
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2 
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Y. Yang and X. Song, ``Research on face intelligent perception technology integrating deep learning under different illumination intensities,'' Journal of Computational and Cognitive Engineering, vol. 1, no. 1, pp. 32-36, 2022.DOI
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A. D. Algarni, W. El-Shafai, G. Banby, F. E. EL-Samie, and N. F. Soliman, ``An efficient CNN-based hybrid classification and segmentation approach for COVID-19 detection,'' Computers, Materials, and Continuum, vol. 3, pp. 4393-4410, 2022.DOI
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15 
M. E. Jijon-Palma, J. Kern, C. Amisse, and J. A. Silva Centeno, ``Improving stacked-autoencoders with 1D convolutional-nets for hyperspectral image land-cover classification,'' Journal of Applied Remote Sensing, vol. 2, 15, 2021.DOI
16 
C. Zhang, L. Zhang, B. Zhang, J. Sun, S. Dong, X. Wang, Y. Li, W. Xu, W. Chu, and Y. Dong, ``Land cover classification in a mixed forest-grassland ecosystem using LResU-Net and UAV imagery,'' Forestry Research, vol. 33, no. 3, pp. 923-936, 2022.DOI
17 
J. Liao, J. Cao, K. Wang, and X. Zhen, ``Land cover classification from very high spatial resolution images via multiscale object-driven CNNs and automatic,'' Journal of Applied Remote Sensing, vol. 16, no. 1, pp. 13-42, 2022.DOI
18 
K. Kulkarni and P. A. Vijaya, ``Using combination technique for land cover classification of optical multispectral images,'' International Journal of Applied Geospatial Research, vol. 12, no. 4, pp. 22-39, 2021.DOI
19 
Y. Cui, Z. Yu, J. Han, S. Gao, and L. Wang, ``Pyramidal and conditional convolution attention network for hyperspectral image classification using limited training samples,'' International Journal of Remote Sensing, vol. 43, no. 8, pp. 2885-2914, 2022.DOI
20 
C. J. Legleiter, B. J. Sansom, and R. B. Jacobson, ``Remote sensing of visible dye concentrations during a tracer experiment on a large, turbid river,'' Water Resources Research, vol. 58, no. 4, pp. 61-83, 2022.DOI
21 
S. Sadhana and R. Mallika, ``An intelligent technique for detection of diabetic retinopathy using improved Alexnet model based convoluitonal neural network,'' Journal of Intelligent and Fuzzy Systems: Applications in Engineering and Technology, vol. 40, no. 4, pp. 7623-7634, 2021.DOI
22 
W. L. Chin, Q. Zhang, and T. Jiang, ``Low-complexity neuron for fixed-point artificial neural networks with ReLU activation function in energy-constrained wireless applications,'' IET Communications, vol. 15, no. 7, pp. 917-923, 2021.DOI
23 
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24 
H. Chen, Y. Qiu, D. Yin, J. Chen, X. Chen, S. Liu, and L. Liu, ``Stacked spectral feature space patch: An advanced spectral representation for precise crop classification based on convolutional neural network,'' Acta Agronomica Sinica, vol. 10, no. 5, pp. 1460-1469, 2022.DOI