Sensitivity Analysis of Parameters of U-Net Model for Semantic Segmentation of Silt Storage Dams from Remote Sensing Images-Reference-Cited by-同舟云学术

Sensitivity Analysis of Parameters of U-Net Model for Semantic Segmentation of Silt Storage Dams from Remote Sensing Images

Published:2023-03-06 Issue:1 Volume:49 Page:
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

Hou Jingwei¹^ORCID,Hou Bo²,Zhu Moyan³,Zhou Ji¹,Tian Qiong¹

Affiliation:

1. School of Civil and Environmental Engineering, Hunan University of Science and Engineering, Yongzhou, 425199, China

2. Human Resources Office, Hunan University of Science and Engineering, Yongzhou, 425199, China

3. School of Geographical Sciences and Planning, Ningxia University, Yinchuan, 750021, China

Funder

Key Scientific Research Project of Hunan Provincial Education Department in China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/07038992.2023.2178834

Reference35 articles.

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3. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

4. How effective are soil and water conservation measures (SWCMs) in reducing soil and water losses in the red soil hilly region of China? A meta-analysis of field plot data

5. Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network

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