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Original Articles

A Survey of Decision Fusion and Feature Fusion Strategies for Pattern Classification

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Pages 293-307 | Published online: 01 Sep 2014

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Yan Duan, Shaojie Bai, Limin Liu & Guangwei Wang. (2023) A Novel Classification Method for PolSAR Image Combining the Deep Learning Model and Adaptive Boosting of Shallow Classifiers. Canadian Journal of Remote Sensing 49:1.
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S. Sasikala, S. Arun Kumar & M. Ezhilarasi. (2022) Improved breast cancer detection using fusion of bimodal sonographic features through binary firefly algorithm. The Imaging Science Journal 70:3, pages 194-206.
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Bin Li, Yefei Liu, Hanfa Xing, Yuan Meng, Guang Yang, Xiaoding Liu & Yaolong Zhao. (2022) Integrating urban morphology and land surface temperature characteristics for urban functional area classification. Geo-spatial Information Science 25:2, pages 337-352.
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Iman Khosravi, Abdolreza Safari & Saeid Homayouni. (2018) Multiple classifier systems for classification of multifrequency PolSAR images with limited training samples. International Journal of Remote Sensing 39:21, pages 7547-7567.
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Kambiz Badie, Nasrin Asadi & Maryam Tayefeh Mahmoudi. (2018) Zone identification based on features with high semantic richness and combining results of separate classifiers. Journal of Information and Telecommunication 2:4, pages 411-427.
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Iman Khosravi, Abdolreza Safari, Saeid Homayouni & Heather McNairn. (2017) Enhanced decision tree ensembles for land-cover mapping from fully polarimetric SAR data. International Journal of Remote Sensing 38:23, pages 7138-7160.
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Gabriel Hermosilla, Javier Ruiz-del-Solar & Rodrigo Verschae. (2017) An enhanced representation of thermal faces for improving local appearance-based face recognition. Intelligent Automation & Soft Computing 23:1, pages 1-12.
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Ren-He Jeng & Wen-Shiung Chen. (2017) Two Feature-Level Fusion Methods with Feature Scaling and Hashing for Multimodal Biometrics. IETE Technical Review 34:1, pages 91-101.
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Jie Wang, Congcong Li & Peng Gong. (2015) Adaptively weighted decision fusion in 30 m land-cover mapping with Landsat and MODIS data. International Journal of Remote Sensing 36:14, pages 3659-3674.
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