Classification of Hyperspectral Images with Various Spatial Features
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-1502-3_77
Reference15 articles.
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2. Bajpai, S., Singh, H.V., Kidwai, N.R.: Feature extraction & classification of hyperspectral images using singular spectrum analysis & multinomial logistic regression classifiers. In: 2017 International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT), Aligarh, pp. 97–100 (2017)
3. Boya, Z., Baojun, Z., Linbo, T., Chen, W.: Multi-scale object detection by bottom-up feature pyramid network. In: IEEE, vol. 2019, no. 21, pp. 7480–7483 (2019)
4. Gao, Q., Lim, S., Jia, X.: Spectral–spatial hyperspectral image classification using a multiscale conservative smoothing scheme and adaptive sparse representation. Trans Geosci Remote Sens 57(10), 7718–7730 (2019)
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1. Classification of hyperspectral images by utilising a lightweight cascaded deep convolutional network;International Journal of Computational Science and Engineering;2024
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