[1] Rick Archibald and George Fann. Feature selection and classification of hyperspectral images with support vector machines. IEEE Geosci. Remote Sens. Lett., 4(4):674-677, October 2007.
[2] Marion F. Baumgardner, Larry L. Biehl, and David A. Landgrebe. 220 band AVIRIS hyperspectral image data set: June 12, 1992 Indian Pine Test Site 3, Sep 2015. URL https://purr.purdue.edu/publications/1947/1.
[3] Domenico D Bloisi, Fabio Previtali, Andrea Pennisi, Daniele Nardi, and Michele Fiorini. Enhancing automatic maritime surveillance systems with visual information. IEEE Trans. Intell. Transp. Syst., 18(4): 824-833, April 2017.
[4] G. Bradski. The OpenCV Library. Dr. Dobb's Journal of Software Tools, 2000.
[5] Alvaro Luis Bustamante, Jose M Molina, and Miguel A Patricio. Information fusion as input source for improving multi-agent system autonomous decision-making in maritime surveillance scenarios. In Proc. IEEE Inter. Conf. on information fusion (FUSION), pages 1-8, 2014.
[6] Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, and Dahua Lin. Mmdetection: Open mmlab detection toolbox and benchmark. CoRR, abs/1906.07155, 2019. URL http://arxiv.org/abs/1906.07155.
[7] Kaiyan Chen, Ming Wu, Jiaming Liu, and Chuang Zhang. FGSD: A dataset for fine-grained ship detection in high resolution satellite images. CoRR, abs/2003.06832, 2020. URL https://arxiv.org/abs/2003.06832.
[8] Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Michael Ying Yang, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, and Liangpei Zhang. Object detection in aerial images: A large-scale benchmark and challenges. IEEE Trans. Pattern Anal. Mach. Intell., 44(11):7778-7796, Nov. 2022. doi: 10.1109/tpami.2021.3117983.
[9] Fahimeh Farahnakian, Mohammad-Hashem Haghbayan, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, and Jukka Heikkonen. Object detection based on multi-sensor proposal fusion in maritime environment. In IEEE Inter. Conf. on machine learning and applications (ICMLA), pages 971–976, December 2018.
[10] Chengjian Feng, Yujie Zhong, Yu Gao, Matthew R Scott, and Weilin Huang. Tood: Task-aligned one-stage object detection. In ICCV, 2021.
[11] Di Feng, Christian Haase-Schütz, Lars Rosenbaum, Heinz Hertlein, Claudius Glaeser, Fabian Timm, Werner Wiesbeck, and Klaus Dietmayer. Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges. IEEE Trans. Intell. Transp. Syst., 2020.
[12] Yvonne Fischer and Alexander Bauer. Object-oriented sensor data fusion for wide maritime surveillance. In Proc. Inter. WaterSide security conference (WSS), pages 1-6, Nov. 2010.
[13] Sara Freitas, Carlos Almeida, Hugo Silva, José Almeida, and Eduardo Silva. Supervised classification for hyperspectral imaging in UAV maritime target detection. In Proc. IEEE Inter. Conf. on Autonomous Robot Systems and Competitions (ICARSC), pages 84-90, 2018.
[14] Sara Freitas, Hugo Silva, José Miguel Almeida, and Eduardo Silva. Convolutional neural network target detection in hyperspectral imaging for maritime surveillance. Int. J. Adv. Rob. Syst., 16(3):1729881419842991, May 2019.
[15] Bo-Cai Gao, Marcos J Montes, Curtiss O Davis, and Alexander FH Goetz. Atmospheric correction algorithms for hyperspectral remote sensing data of land and ocean. Remote Sense. of Environ., 113: S17-S24, 2009.
[16] Ross Girshick. Fast R-CNN. In Proc. IEEE Inter. Conf. on computer vision (ICCV), pages 1440-1448, December 2015.
[17] Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In Proc. IEEE Conf. on computer vision and pattern recognition (CVPR), pages 580-587, June 2014.