Progressive Task-Based Universal Network for Raw Infrared Remote Sensing Imagery Ship Detection-Reference-Cited by-同舟云学术

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Progressive Task-Based Universal Network for Raw Infrared Remote Sensing Imagery Ship Detection

Published:2023 Issue: Volume:61 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Li Yuan¹^ORCID,Xu Qizhi¹^ORCID,He Zhaofeng²^ORCID,Li Wei³^ORCID

Affiliation:

1. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China

2. School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China

3. School of Information and Electronics, Beijing Institute of Technology, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10125034.pdf?arnumber=10125034

Reference57 articles.

1. Shutterless non-uniformity correction for the long-term stability of an uncooled long-wave infrared camera

2. Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks

3. Unified density-aware image dehazing and object detection in real-world hazy scenes;zhang;Proc Asian Conf Comput Vis,2020

4. Feature Split–Merge–Enhancement Network for Remote Sensing Object Detection

5. Destriping CMODIS data by power filtering

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4. Robust Region Feature Extraction With Salient MSER and Segment Distance-Weighted GLOH for Remote Sensing Image Registration;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

5. KNLConv: Kernel-Space Non-Local Convolution for Hyperspectral Image Super-Resolution;IEEE Transactions on Multimedia;2024

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