陈奋，主要研究方向为遥感图像处理。

部分学术成果：

[1]     F. Chen, K. Wang, T. Van deVoorde, T. Tang, “Mapping urban land cover from high spatial resolution hyperspectral data: An approach based on simultaneously unmixing similar pixels with jointly sparse spectral mixture analysis”, Remote Sensing of Environment,vol. 196, no. 7, pp. 324-342, Jul. 2017.

[2]    F.Chen, P. Zhao, T. Tang, and Y. Zhou, “Fast low-rank decomposition model-based hyperspectral image classification method”, IEEE Geoscience and Remote Sensing Letters, vol. 14,no. 2, pp. 169-173, Feb.2017.

[3]    F.Chen, K. Wang, and T. Tang, “Spectral unmixing using a sparse multiple-endmember spectral mixture model,” IEEE Transactions on Geoscience and Remote Sensing, vol.54, no. 10, pp. 5846-5861, Oct. 2016. 

[4]    F.Chen, T. Tang, and K. Wang, “Low-rank decomposition model for adaptive identification of similar neighboring pixels in hyperspectral images,” IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 2, pp.172-176, Feb. 2016.

......