Optimized Feature-Level Fusion of Hyperspectral Thermal and Visible Images in Urban Area Classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s12524-022-01647-z.pdf
Reference36 articles.
1. Abdi, G., Samadzadegan, F., & Reinartz, P. (2017). A decision-based multi-sensor classification system using thermal hyperspectral and visible data in urban area. European Journal of Remote Sensing, 50(1), 414–427. https://doi.org/10.1080/22797254.2017.1348914
2. Abdulrahman, F. H. (2021). Hyperspectral and LiDAR data fusion in features based classification. Arabian Journal of Geosciences, 14, 2730. https://doi.org/10.1007/s12517-021-09031-w
3. Abe, S. (2005). Support vector machines for pattern classification, (Vol. 2). Springer.
4. Bigdeli, B., Pahlavani, P., & Amirkolaee, H. A. (2021). A multiple remote sensing sensor fusion system using Choquet fuzzy integral and modified particle swarm optimization (FI-MPSO). Journal of the Indian Society of Remote Sensing, 49(2), 405–418. https://doi.org/10.1007/s12524-020-01223-3
5. Bulatov, D., Burkard, E., Ilehag, R., Kottler, B., Helmholz, P. (2020). From multi-sensor aerial data to thermal and infrared simulation of semantic 3D models: Towards identification of urban heat islands. Infrared Physics & Technology, 105, 103233. https://doi.org/10.1016/j.infrared.2020.103233
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