The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Multisource Remote Sensing Data Classification Based on Convolutional Neural Network
Abstract
As a list of remotely sensed data sources is available, how to efficiently exploit useful information from multisource data for better Earth observation becomes an interesting but challenging problem. In this paper, the classification fusion of hyperspectral imagery (HSI) and data from other multiple sensors, such as light detection and ranging (LiDAR) data, is investigated with the state-of-the-art deep learning, named the two-branch convolution neural network (CNN). More specific, a two-tunnel CNN framework is first developed to extract spectral-spatial features from HSI; besides, the CNN with cascade block is designed for feature extraction from LiDAR or high-resolution visual image. In the feature fusion stage, the spatial and spectral features of HSI are first integrated in a dual-tunnel branch, and then combined with other data features extracted from a cascade network. Experimental results based on several multisource data demonstrate the proposed two-branch CNN that can achieve more excellent classification performance than some existing methods.
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Cites
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Cited by
Deep learning in remote sensing applications: A meta-analysis and review
Ma, L., Liu, Y., Zhang, X., Ye, Y., Yin, G., & Johnson, B. A. (2019) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2019.04.015 · Cited by 2,456
Deep Learning for Hyperspectral Image Classification: An Overview
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Metadata
- Authors
- Xu, X., Li, W., Ran, Q., Du, Q., Gao, L., & Zhang, B.
- Venue
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 2018-02
- Volume
- 56
- Issue
- 2
- Pages
- 937-949
- ISSN
- 0196-2892 (ISSN-L)
- 1558-0644
- OpenAlex
- W2765739551
- Cited by
- 689
- References
- 53
- FWCI
- 32.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Funders
- National Natural Science Foundation of China (NSFC-91638201, 61571033)
- Higher Education and High-Quality and World-Class Universities (PY201619)
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- Xu, X., Li, W., Ran, Q., Du, Q., Gao, L., & Zhang, B. (2018). Multisource Remote Sensing Data Classification Based on Convolutional Neural Network. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/tgrs.2017.2756851
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