Mapping land cover using a developed U-Net model with weighted cross entropy-Reference-Cited by-同舟云学术

Mapping land cover using a developed U-Net model with weighted cross entropy

Published:2021-12-15 Issue: Volume: Page:1-14
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Sun Peijun¹^ORCID,Lu Yunduo¹,Zhai Jingchao²

Affiliation:

1. Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi’an, China

2. Twenty First Century Aerospace Technology Co., Ltd, Beijing, China

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2021.2017017

Reference58 articles.

1. Performance Improvement of Encoder/Decoder-Based CNN Architectures for Change Detection from Very High-Resolution Satellite Imagery

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

3. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information

4. Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images

5. Big Data for Remote Sensing: Challenges and Opportunities

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