Design of Remote Sensing Image Automatic Target Recognition and Emergency Rescue Assistant System Based on Deep Learning-Reference-Cited by-同舟云学术

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Design of Remote Sensing Image Automatic Target Recognition and Emergency Rescue Assistant System Based on Deep Learning

Published:2023-12-29 Issue: Volume:39 Page:109-114
ISSN:
Container-title:2023 International Conference on Internet of Things, Robotics and Distributed Computing (ICIRDC)
language:
Short-container-title:

Author:

He Feng¹,Yu Linjun²,Ma Yuxuan³

Affiliation:

1. Yunnan University of Finance and Economics,School of Logistics and Management Engineering,Kunming,China,650221

2. Chinese Academy of Science,Aerospace Information Research Institute,Beijing,China,100094

3. Yunnan University of Finance and Economics,School of Finance and Public Administration,Kunming,China,650221

Funder

Yunnan Provincial Science and Technology Department

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10510672/10510673/10511024.pdf?arnumber=10511024

Reference13 articles.

1. Remote sensing images target recognition based on the texture context;Chen;Systems Engineering & Electronics,2017

2. Remote sensing image recognition based on generalized regularized auto-encoders;Yang;Journal of Tsinghua University,2018

3. Semantic segmentation of remote sensing ship image via a convolutional neural networks model

4. Optical Remote Sensing Image Denoising and Super-Resolution Reconstructing Using Optimized Generative Network in Wavelet Transform Domain

5. Irradiance Restoration Based Shadow Compensation Approach for High Resolution Multispectral Satellite Remote Sensing Images

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