A new target recognition method in remote sensing image

作者：Dan, Zhiping^*; Sang, Nong; Chen, Yanfei; Sun, Shuifa

来源：Journal of Huazhong University of Science and Technology (Natural Science Edition), 2013, 41(SUPPL.I): 140-143.

• Classical methods
• Common knowledge
• Different distributions
• Feature vectors
• Recognition algorithm
• Remote sensing images
• Target recognition
• Transfer learning

As some attributes of the test data, such as shape, imaging quality, are different from those of the training data in the remote sensing (RS) images, the different distributions of data cause the low reliability of the target recognition. Aimed at the problem, a new target recognition method based on transfer learning for remote sensing image was proposed. Hu moments were firstly extracted as the feature vectors of the targets, and then the transfer learning was used to find the common knowledge transferred in the feature spaces between the target data and the training data. The experimental results show that the proposed method can obtain approving effect in the RS target recognition, and it has greatly improved the performance compared with the other classical methods.

• 出版日期2013
• 单位华中科技大学; 三峡大学