Joint Feature-Space and Sample-Space Based Heterogeneous Feature Transfer Method for Object Recognition Using Remote Sensing Images with Different Spatial Resolutions

Joint Feature-Space and Sample-Space Based Heterogeneous Feature Transfer Method for Object Recognition Using Remote Sensing Images with Different Spatial Resolutions

To improve the classification results of high-resolution remote sensing images (RSIs), it is necessary to use feature transfer methods to mine the relevant information between high-resolution RSIs and low-resolution RSIs to train the classifiers together. Most of the existing feature transfer method...

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Bibliographic Details
Main Authors:	Wei Hu, Xiyuan Kong, Liang Xie, Huijiong Yan, Wei Qin, Xiangyi Meng, Ye Yan, Erwei Yin
Format:	Article
Language:	English
Published:	MDPI AG 2021-11-01
Series:	Sensors
Subjects:	heterogeneous feature transfer classification of remote sensing images transfer learning negative transfer
Online Access:	https://www.mdpi.com/1424-8220/21/22/7568

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