Solar Power Plant Detection on Multi-Spectral Satellite Imagery using Weakly-Supervised CNN with Feedback Features and m-PCNN Fusion

Nevrez Imamoglu, Motoki Kimura, Hiroki Miyamoto, Aito Fujita and Ryosuke Nakamura

Abstract

Most of the traditional convolutional neural networks (CNNs) implement bottom-up approach (feed-forward) for image classifications. However, many scientific studies demonstrate that visual perception in primates rely on both bottom-up and top-down connections. Therefore, in this work, we propose a CNN network with feedback structure for solar power plant detection on middle-resolution satellite images. To express the strength of the top-down connections, we introduce feedback CNN network (FB-Net) to a baseline CNN model used for solar power plant classification on multi-spectral satellite data. Moreover, we introduce a method to improve class activation mapping (CAM) to our FB-Net, which takes advantage of multi-channel pulse coupled neural network (m-PCNN) for weakly-supervised localization of the solar power plants from the features of proposed FB-Net.

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DOI

10.5244/C.31.183
https://dx.doi.org/10.5244/C.31.183

Citation

Nevrez Imamoglu, Motoki Kimura, Hiroki Miyamoto, Aito Fujita and Ryosuke Nakamura. Solar Power Plant Detection on Multi-Spectral Satellite Imagery using Weakly-Supervised CNN with Feedback Features and m-PCNN Fusion. In T.K. Kim, S. Zafeiriou, G. Brostow and K. Mikolajczyk, editors, Proceedings of the British Machine Vision Conference (BMVC), pages 183.1-183.12. BMVA Press, September 2017.

Bibtex

            @inproceedings{BMVC2017_183,
                title={Solar Power Plant Detection on Multi-Spectral Satellite Imagery using Weakly-Supervised CNN with Feedback Features and m-PCNN Fusion},
                author={Nevrez Imamoglu, Motoki Kimura, Hiroki Miyamoto, Aito Fujita and Ryosuke Nakamura},
                year={2017},
                month={September},
                pages={183.1-183.12},
                articleno={183},
                numpages={12},
                booktitle={Proceedings of the British Machine Vision Conference (BMVC)},
                publisher={BMVA Press},
                editor={Tae-Kyun Kim, Stefanos Zafeiriou, Gabriel Brostow and Krystian Mikolajczyk},
                doi={10.5244/C.31.183},
                isbn={1-901725-60-X},
                url={https://dx.doi.org/10.5244/C.31.183}
            }