Attitude Jitter Compensation for Remote Sensing Images Using Convolutional Neural Network

Zhang Zhaoxiang; Akira Iwasaki; Guodong Xu

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Attitude Jitter Compensation for Remote Sensing Images Using Convolutional Neural Network

机译：基于卷积神经网络的遥感影像姿态抖动补偿

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摘要

Attitude jitter of satellites and unmanned aerial vehicle (UAV) platforms is a problem that degenerates the imaging quality in high-resolution remote sensing. This letter proposes a deep learning architecture that automatically learns essential scene feat

机译：卫星和无人机（UAV）平台的姿态抖动是一个问题，会降低高分辨率遥感影像的成像质量。这封信提出了一种深度学习架构，可自动学习必要的场景壮举

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来源
《IEEE Geoscience and Remote Sensing Letters》 |2019年第9期|1358-1362|共5页
作者
Zhang Zhaoxiang; Akira Iwasaki; Guodong Xu;
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作者单位

Department of Aerospace Engineering Harbin Institute of Technology Harbin China;

Department of Aerospace Engineering The University of Tokyo Tokyo Japan;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Jitter; Remote sensing; Cameras; Training; Satellites; Image restoration;

机译：抖动遥感;相机;训练;卫星;影像还原;

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2. Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields [J] . Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Remote Sensing . 2017,第7期

机译：使用具有景观度量和条件随机场的深度卷积神经网络对遥感图像进行道路分割
3. A Siamese convolutional neural network with high-low level feature fusion for change detection in remotely sensed images [J] . Zhou Hao, Zhang Mi, Hu Xiangyun, Remote sensing letters . 2021,第4a6期

机译：具有高低电平特征融合的暹罗卷积神经网络，用于在远程感测图像中改变检测
4. Hierarchical features learning with convolutional neural networks based on aircraft recognition on images from remote sensing image [C] . Liu Jian-min, Yang Min-hua, Xiang Yu IEEE International Conference on Consumer Electronics - China . 2016

机译：基于飞机识别的遥感图像基于卷积神经网络的层次特征学习
5. Classification of SAR images and retrieval of remotely sensed parameters using neural networks. [D] . Rawat, Vikram Kumar. 1994

机译：SAR图像分类和使用神经网络检索遥感参数。
6. Training Convolutional Neural Networks with Multi-Size Images and Triplet Loss for Remote Sensing Scene Classification [O] . Jianming Zhang, Chaoquan Lu, Jin Wang, 2020

机译：利用多尺寸图像和三重态损失训练卷积神经网络进行遥感场景分类
7. Recognizing global dams from high-resolution remotely sensed images using convolutional neural networks [O] . Weizhen Fang, Yiyuan Sun, Rui Ji, 2021

机译：使用卷积神经网络识别来自高分辨率遥感图像的全球水坝

Attitude Jitter Compensation for Remote Sensing Images Using Convolutional Neural Network

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