Extinction profile (EP) is an effective feature extraction method which can well preserve the geometrical characteristics of a hyperspectral image (HSI) and by extracting the EP from first three independent components (ICs) of an HSI, three correlated and complementary groups of EP features can be constructed. In this paper, an EPs fusion (EPs-F) strategy is proposed for HSI classification by exploring spatial-spectral information within and among three EP features. In general, the EPs-F method includes two stages. In the first stage, within each EP feature, a superpixel-based composite kernel strategy is proposed to adaptively fuse the spatial information of EP and the spectral feature of HSI. Then, the obtained adaptive composite kernel is used to create a classification map for each EP. In the second stage, decision fusion is further applied on different classification maps to create the final classification result. Experiments on two real HSIs verify the effectiveness of the proposed EPs-F algorithm.
|Title of host publication||2017 IEEE International Geoscience and Remote Sensing Symposium|
|Subtitle of host publication||International Cooperation for Global Awareness, IGARSS 2017 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|Publication status||Published - 1 Dec 2017|
|Event||37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, United States|
Duration: 23 Jul 2017 → 28 Jul 2017
|Name||International Geoscience and Remote Sensing Symposium (IGARSS)|
|Conference||37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017|
|Period||23/07/17 → 28/07/17|
Bibliographical noteFunding Information:
This paper is supported by the National Natural Science Fund of China for Distinguished Young Scholars (No. 61325007), the National Natural Science Fund of China for International Cooperation and Exchanges (No. 61520106001), the National Natural Science Foundation of China (No. 61601179), and the Science and Technology Plan Projects Fund of Hunan Province (No. 2015WK3001).
© 2017 IEEE.
- composite kernel
- decision fusion
- extinction profiles (EPs)
- hyperspectral image (HSI)