Pansharpening via Detail Guided and Global Scale Convolution-Reference-Cited by-同舟云学术

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Pansharpening via Detail Guided and Global Scale Convolution

Published:2024 Issue: Volume:17 Page:14687-14703
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Li Weisheng¹^ORCID,Zhi Xudong¹,Peng Yidong¹^ORCID,Hu Yijian¹

Affiliation:

1. Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing

Special Funding for Postdoctoral Research Projects of Chongqing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10637678.pdf?arnumber=10637678

Reference42 articles.

1. A Review: Remote Sensing Image Object Detection Algorithm Based on Deep Learning

2. Cascade Object Detection and Remote Sensing Object Detection Method Based on Trainable Activation Function

3. Edge-Guided Image Object Detection in Multiscale Segmentation for High-Resolution Remotely Sensed Imagery

4. Small Target Augmentation for Urban Remote Sensing Image Real-Time Segmentation

5. FactSeg: Foreground Activation-Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery

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