Physical-Simulation-Based Dynamic Template Matching Method for Remote Sensing Small Object Detection-Reference-Cited by-同舟云学术

Physical-Simulation-Based Dynamic Template Matching Method for Remote Sensing Small Object Detection

Published:2024 Issue: Volume:62 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Cao Yaming¹^ORCID,Guo Lei¹,Xiong Fengguang¹^ORCID,Kuang Liqun¹^ORCID,Han Xie¹^ORCID

Affiliation:

1. Shanxi Key Laboratory of Machine Vision and Virtual Reality and the Shanxi Province’s Vision Information Processing and Intelligent Robot Engineering Research Center, School of Data Science and Technology, North University of China, Taiyuan, China

Funder

Foundation of Shanxi Key Laboratory of Machine Vision and Virtual Reality

Youth Project of Applied Basic Research Project of Shanxi Province

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/ielx7/36/10354519/10364853.pdf?arnumber=10364853

Reference59 articles.

1. Earth observation brain (EOB): an intelligent earth observation system

2. Remote Sensing Image Information Quality Evaluation via Node Entropy for Efficient Classification

3. The essence of acquisition time of airborne hyperspectral and on-ground reference data for classification of highly invasive annual vine Echinocystis lobata (Michx.) Torr. & A. Gray

4. Detection of Vehicles in Multisensor Data via Multibranch Convolutional Neural Networks

5. A multi-model ensemble method based on convolutional neural networks for aircraft detection in large remote sensing images

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