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Remote Sensing Image Analysis Based on Transfer Learning: A Survey

  • Ruowu Wu
  • Yuyao Li
  • Hui Han
  • Xiang Chen
  • Yun LinEmail author
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 279)

Abstract

Transfer learning is a new topic in machine learning. Psychology holds that the process of learning knowledge from one to the other is a process of transfer learning. Transfer learning is different from machine learning which has to satisfy the following two conditions: (1) The training samples and testing samples must be in the same feature spaces. (2) There must be enough training samples to obtain an excellent training model. Because of the ability of transfer learning to solve problems with small samples and the ability to use historical auxiliary models to solve new problems, it is introduced in remote sensing image analysis. At first, this paper introduces some basic knowledge of transfer learning and enumerates some basic research examples. The research content of this paper mainly involves several problems based on transfer learning, such as target detection and recognition, image classification, etc.

Keywords

Transfer learning Remote sensing image Target detection Target recognition Image classification 

Notes

Acknowledgment

This work is supported by the National Natural Science Foundation of China (61771154) and the Fundamental Research Funds for the Central Universities (HEUCFG201830).

Meantime, all the authors declare that there is no conflict of interests regarding the publication of this article.

We gratefully thank of very useful discussions of reviewers.

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Ruowu Wu
    • 1
  • Yuyao Li
    • 2
  • Hui Han
    • 1
  • Xiang Chen
    • 1
  • Yun Lin
    • 2
    Email author
  1. 1.State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System (CEMEE)LuoyangChina
  2. 2.College of Information and Communication EngineeringHarbin Engineering UniversityHarbinChina

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