A Parallelized Feature Analysis Method for Remote Sensing Images
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-6613-2_127
Reference15 articles.
1. Zhang, Y., Li, W., Li, H.-C., Tao, R., Du, Q.: Discriminative marginalized least-squares regression for hyperspectral image classification. IEEE Trans. Geosci. Remote Sens. 58(5), 3148–3161 (2020). https://doi.org/10.1109/TGRS.2019.2949082
2. Zhu, Y., Zhuang, F., Wang, J., et al.: Deep subdomain adaptation network for image classification. IEEE Trans. Neural Netw. Learn. Syst. 32(4), 1713–1722 (2021). https://doi.org/10.1109/TNNLS.2020.2988928
3. Zhu, Y., et al.: Multi-representation adaptation network for cross-domain image classification. Neural Netw. Official J. Int. Neural Netw. Soc. 119, 214–221 (2019). https://doi.org/10.1016/j.neunet.2019.07.010
4. van der Meer, F.: Remote-sensing image analysis and geostatistics. Int. J. Remote Sens. 33(17/18), 5644–5676 (2012)
5. Blaschke, T.: Object based image analysis for remote sensing. ISPRS J. Photogrammetry Remote Sens. 65(1), 2–16 (2010)
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