Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Natural Science Foundation of Beijing Municipality
Beijing Nova Program
Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Reference33 articles.
1. Bao, J., Chi, M., Benediktsson, J.A.: Spectral derivative features for classification of hyperspectral remote sensing images: Experimental evaluation. IEEE J. Select. Topics Appl. Earth Obs. Remote Sens. 6(2), 594–601 (2013)
2. Chang, C.I., Chiang, S.S.: Anomaly detection and classification for hyperspectral imagery. IEEE Trans. Geosci. Remote Sens. 40(6), 1314–1325 (2002)
3. Dehnavi, S., Maghsoudi, Y., ValadanZouj, M., BaniAdam, F.: Beneficiary of high order derivative spectrum in target detection. In: Geoscience and Remote Sensing Symposium (IGARSS), IEEE International. IEEE, pp. 4608–4611 (2014)
4. Freeman, J., Downs, F., Marcucci, L., Lewis, E.N., Blume, B., Rish, J.: Multispectral and hyperspectral imaging: applications for medical and surgical diagnostics. In: Engineering in Medicine and Biology Society. Proceedings of the 19th Annual International Conference of the IEEE, vol. 2. IEEE, pp. 700–701 (1997)
5. Goodenough, D.G., Chen, H., Gordon, P., Niemann, K.O., Quinn, G.: Forest applications with hyperspectral imaging. In: Geoscience and Remote Sensing Symposium (IGARSS), IEEE International. IEEE, pp. 7309–7312 (2012)
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献