Deep Convolutional networks with superpixel segmentation for hyperspectral image classification

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2016-November, Issue , 2016, Pages 3310-3313

  Cao, Jiayan ^a,b   Chen, Zhao ^a,b   Wang, Bin ^a,b  

^a FUDAN UNIVERSITY   (China)

^b BEIJING NORMAL UNIVERSITY   (China)

Author keywords

Convolutional Neural Network; Deep Learning; Hyperspectral Image Classification; Superpixel Segmentation; Support Vector Machine

Indexed keywords

EID: 85007427844     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2016.7729856     Document Type: Conference Paper

References (5)

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3. Chen Y., Lin Z., Zhao X., and Haffner P., Deep Learning-Based Classification of Hyperspectral Data. IEEE JSTARS, 7 (6), pp. 2094-2107, 2014
4. Lecun Y., Bottou L., Bengio Y., and Haffner P., Gradientbased learning applied to document recognition. Proceedings of the IEEE, 86 (11), pp. 2278-2324, 1998
5. Achanta R., Shaji A., and Smith K. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods. IEEE Trans. PAMI, 34 (11), pp. 2274-2282, 2012