Author:
Rangzan Kazem,Kabolizadeh Mostafa,Karimi Danya,Zareie Sajad
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Reference37 articles.
1. Akbarizadeh, G., Rangzan, K., & Kabolizadeh, M. (2016). Effective supervised multiple-feature learning for fused radar and optical data classification. IET Radar, Sonar and Navigation, 11(5), 768–777.
2. Brook, A., & Dor, E. B. (2016). Quantitative detection of settled dust over green canopy using sparse unmixing of airborne hyperspectral data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(2), 884–897.
3. Bungert, L., Coomes, D. A., Ehrhardt, M. J., Rasch, J., Reisenhofer, R., & Schönlieb, C. B. (2018). Blind image fusion for hyperspectral imaging with the directional total variation. Inverse Problems, 34(4), 044003.
4. Dalla Mura, M., Benediktsson, J. A., Waske, B., & Bruzzone, L. (2010). Morphological attribute profiles for the analysis of very high resolution images. IEEE Transactions on Geoscience and Remote Sensing, 48(10), 3747–3762.
5. Fukuda, S., & Hirosawa, H. (1999). A wavelet-based texture feature set applied to classification of multifrequency polarimetric SAR images. IEEE Transactions on Geoscience and Remote Sensing, 37(5), 2282–2286.
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