Aerial image detection and recognition system based on deep neural network
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McKeown DM, Denlinger JL (1988) Cooperative methods for road tracking in aerial imagery. In: Proceedings CVPR'88: The Computer Society conference on computer vision and pattern recognition. IEEE Computer Society
Kim T, Park SR, Kim MG, Jeong S, Kim KO (2004) Tracking road centerlines from high resolution remote sensing images by least squares correlation matching. Photogramm Eng Remote Sens 70(12):1417–1422
Baatz M, Schäpe A (2000) Multiresolution segmentation: an optimization approach for high quality multi-scale image segmentation
Drǎguţ L, Tiede D, Levick SR (2010) ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data. Int J Geogr Inf Sci 24(6):859–871
Cheng G et al (2013) Object detection in remote sensing imagery using a discriminatively trained mixture model. ISPRS J Photogramm Remote Sens 85:32–43
Shi Z, Yu X, Jiang Z, Li B (2014) Ship detection in high-resolution optical imagery based on anomaly detector and local shape feature. IEEE Trans Geosci Remote Sens 52(8):4511–4523
Zhong P, Wang R (2007) A multiple conditional random fields ensemble model for urban area detection in remote sensing optical images. IEEE Trans Geosci Remote Sens 45(12):3978–3988
Girshick R et al (2014) Rich feature hierarchies for accurate object detection and semantic segmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition
Girshick R (2015) Fast r-cnn. In: Proceedings of the IEEE international conference on computer vision
Ren S et al (2015) Faster r-cnn: towards real-time object detection with region proposal networks. Advances in neural information processing systems
Redmon J et al (2016) You only look once: unified, real-time object detection. In: Proceedings of the IEEE conference on computer vision and pattern recognition
Liu W et al (2016) Ssd: single shot multibox detector. In: European conference on computer vision. Springer, Cham
Lin T-Y et al (2017) Focal loss for dense object detection. In: Proceedings of the IEEE international conference on computer vision
Krizhevsky A, Sutskever I, Hinton GE (2017) Imagenet classification with deep convolutional neural networks. Commun ACM 60(6):84–90
Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556
Szegedy C et al (2015) Going deeper with convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition
Rippel O et al (2015) Metric learning with adaptive density discrimination. arXiv preprint arXiv:1511.05939
Wang J et al (2014) Learning fine-grained image similarity with deep ranking. In: Proceedings of the IEEE conference on computer vision and pattern recognition
Verma N et al (2012) Learning hierarchical similarity metrics. In: 2012 IEEE conference on computer vision and pattern recognition. IEEE
Weinberger KQ, Saul LK (2009) Distance metric learning for large margin nearest neighbor classification. J Mach Learn Res 10(Feb):207–244
Hadsell R, Chopra S, LeCun Y (2006) Dimensionality reduction by learning an invariant mapping. In: 2006 IEEE Computer Society conference on computer vision and pattern recognition (CVPR’06), vol 2. IEEE