Multi-class remote sensing change detection based on model fusion-Reference-Cited by-同舟云学术

Multi-class remote sensing change detection based on model fusion

Published:2023-02-01 Issue:3 Volume:44 Page:878-901
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Zhuang Zhenrong¹²,Shi Wenzao¹²,Sun Wenting¹²,Wen Pengyu¹²,Wang Lei¹²,Yang Weiqi¹²,Li Tian¹²

Affiliation:

1. Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Fujian Normal University, Fuzhou, P. R. China

2. Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, P. R. China

Funder

Natural Science Foundation of Fujian Province

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2171746

Reference42 articles.

1. Change detection techniques for remote sensing applications: a survey

2. Automatic speech recognition and speech variability: A review

3. PCANet: A Simple Deep Learning Baseline for Image Classification?

4. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

5. A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

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