随着深度学习技术的发展，各头部科技公司与互联网企业也越来越重视城市模型的建设与投入，将新技术与算法引入到这一经典研究课题中。同样在高校，目前也有许多小伙伴从事遥感方向的研究工作。那么如何才能正确发表第一篇论文呢？

  基于深度CNN的LULC谱分类器原理图

划重点：遥感方向的朋友们看过来啦！这次我给大家整理了18篇遥感经典论文，希望对大家的学习有所启发。

扫描二维码，回复【遥感】领取文中18篇经典遥感论文全是pdf格式，非常方便，想要的同学千万不要错过！

以下为18篇经典遥感论文目录：

1、Deep learning in environmental remote sensing: Achievements and challenges

2、ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci

3、Review on remote sensing methods for landslide detection using machine and deep learning

4、Deep Learning for Medicine and Remote Sensing: A Brief Review

5、Deep learning in remote sensing applications: A meta-analysis and review

6、Deep learning classifiers for hyperspectral imaging: A review

7、Deep Learning for Classification of Hyperspectral Data: A Comparative Review

8、Deep neural network for remote sensing image interpretation: status and perspectives

9、Deep Learning for Hyperspectral Image Classification: An Overview

10、A Review of Researches on Deep Learning in Remote Sensing Application

11、Implementation of machine-learning classification in remote sensing: an applied review

12、Deep learning for remote sensing image classification: A survey

13、Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

14、Remote Sensing Image Scene Classification: Benchmark and State of the Art. Proceedings of the IEEE

15、Deep learning for urban remote sensing

16、Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

17、Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

18、Deep Learning for Remote Sensing Image Understanding.

扫描二维码，回复【遥感】领取文中18篇经典遥感论文全是pdf格式，非常方便，想要的同学千万不要错过！