Nonlinear Projective Dictionary Pair Learning for PolSAR Image Classification
Open Access
- 7 May 2021
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 9, 70650-70661
- https://doi.org/10.1109/access.2021.3078232
Abstract
Polarimetric synthetic aperture radar (PolSAR) image classification has become a hot research topic in recent years. Sparse representation plays an important role in image processing. However, almost all the existing dictionary learning methods are linear transformation in the original data space, so they cannot capture the nonlinear relationship of the input data. The recently proposed projective dictionary pair learning (DPL) method has acquired good performance in classification result and time consumption. In this paper, we propose the nonlinear projective dictionary pair learning (NDPL) model, which introduced the nonlinear transformation to the DPL model. Our method can adaptively obtain the nonlinear relationship between the elements of input data, and it also has the excellent performance of DPL model. In this paper, we use three PolSAR images to test the performance of our proposed method. Compared with several state-of-the-art methods, our proposed method has obtained promising results in solving the task of PolSAR image classification.Funding Information
- Project through the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (61621005)
- National Natural Science Foundation of China (61906150, 62076192, U1701267, 61801124, 61806156, 61802295)
- National Key Research and Development Program of China (2017YFC08219)
- New Think-tank of Department of Education In Shaanxi Province of China (20JT021, 20JT022, 20JY023)
- State Key Program of National Natural Science of China (61836009)
- Key Research and Development Program in Shaanxi Province of China (2019ZDLGY03-06)
- Program for Cheung Kong Scholars and Innovative Research Team in University (IRT_15R53)
- Fund for Foreign Scholars in University Research and Teaching Programs through the 111 Project (B07048)
- Major Research Plan of the National Natural Science Foundation of China (91438201, 91438103)
- Fundamental Research Funds for the Central Universities (JB191903)
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