Acta Optica Sinica, Volume. 39, Issue 12, 1210001(2019)
Semantic Segmentation of Remote Sensing Image Based on Neural Network
[1] Wang Y, Xing L N. Remote sensing satellite networking technology and remote sensing system: a survey. [C]∥2015 12th IEEE International Conference on Electronic Measurement & Instruments (ICEMI), July 16-18, 2015, Qingdao, China. New York: IEEE, 1251-1256(2015).
[4] Meletis P, Dubbelman G. Training of convolutional networks on multiple heterogeneous datasets for street scene semantic segmentation. [C]∥2018 IEEE Intelligent Vehicles Symposium (IV), June 26-30, 2018, Changshu, China. New York: IEEE, 1045-1050(2018).
[5] Paisitkriangkrai S. Shen C H, van den Hengel A. Pedestrian detection with spatially pooled features and structured ensemble learning[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38, 1243-1257(2016).
[6] Blanzieri E, Melgani F. An adaptive SVM nearest neighbor classifier for remotely sensed imagery. [C]∥2006 IEEE International Symposium on Geoscience and Remote Sensing, July 31-August 4, 2006, Denver, CO, USA. New York: IEEE, 3914-3917(2006).
[7] Kluckner S, Bisch H. Image-based building classifiation and 3D modeling with super-pixel. [C]∥ISPRS Technical Commission Ⅲ Symposium on Photogrammetry Computer Vision and Image Analysis, September 1-3, 2010, Paris, France. [S.l.: s.n.], 233-238(2010).
[14] LeCun Y, Bottou L, Bengio Y et al. . Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 86, 2278-2324(1998).
[15] Xie Y T, Richmond D. Pre-training on grayscale ImageNet improves medical image classification[M]. ∥Leal-Taixé L, Roth S. Computer vision-ECCV 2018 Workshops. Lecture notes in computer science. Cham: Springer, 11134, 476-484(2019).
[16] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks. [C]∥Neural Information Processing Systems, December 3-6, 2012, Lake Tahoe, Nevada, United States. Canada: NIPS(2012).
[17] Nguyen T, Han J, Park D C. Satellite image classification using convolutional learning[C]. AIP Conference Proceedings, 1558, 2237-2240(2013).
[19] Mnih V. Machine learning for aerial image labeling[M]. Canada: University of Toronto, 12-16(2013).
[20] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 770-778(2016).
[21] Yu F, Koltun V, Funkhouser T. Dilated residual networks. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 636-644(2017).
[22] Shelhamer E, Long J, Darrell T. Fully convolutional networks for semantic segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 640-651(2017).
[23] Simonyan K. -04-10)[2019-07-08]. https:∥arxiv., org/abs/1409, 1556(2015).
[26] Ronneberger O, Fischer P, Brox T. U-Net: convolutional networks for biomedical image segmentation[M]. ∥Navab N, Hornegger J, Wells W,
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Ende Wang, Kai Qi, Xuepeng Li, Liangyu Peng. Semantic Segmentation of Remote Sensing Image Based on Neural Network[J]. Acta Optica Sinica, 2019, 39(12): 1210001
Category: Image Processing
Received: Jul. 9, 2019
Accepted: Aug. 19, 2019
Published Online: Dec. 6, 2019
The Author Email: Qi Kai (qiqikai123456@163.com)