Abstract
GF-4 satellite images suffer from a general drawback of geostationary satellites that lose the efficacy on low light conditions such as gloaming and drawn. This significantly limits the GF-4 applications when disaster happens. In this paper, we investigate a real-time image enhancement technique for GF-4 satellites images on low light conditions and propose a reflectivity-constraint-entropy-maximization (RCEM) strategy to enhance the contrast of GF-4 images. Experiments show that the proposed RCEM outperforms the current state-of-the-art image enhancement techniques which will significantly extend the working time of GF-4 satellite.
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Ma, M., Guo, B., Niu, Y. (2019). Real-Time GF-4 Satellite Image Enhancement in Low Light Conditions. In: Wang, L., Wu, Y., Gong, J. (eds) Proceedings of the 5th China High Resolution Earth Observation Conference (CHREOC 2018). CHREOC 2018. Lecture Notes in Electrical Engineering, vol 552. Springer, Singapore. https://doi.org/10.1007/978-981-13-6553-9_15
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DOI: https://doi.org/10.1007/978-981-13-6553-9_15
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