Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution

Yinhao Li; Yutaro Iwamoto; Lanfen Lin; Yen‐Wei Chen

doi:10.1007/978-3-030-69756-3_2

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Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution

Yinhao Li Yutaro Iwamoto Lanfen Lin Yen‐Wei Chen

Year: 2021 Lecture notes in computer science Pages: 18-30 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-69756-3_2

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Keywords:

Computer science Residual Feature (linguistics) Convolutional neural network Block (permutation group theory) Convolution (computer science) Artificial intelligence Channel (broadcasting) Pattern recognition (psychology) Image (mathematics) Representation (politics) Image resolution Remote sensing Computer vision Artificial neural network Algorithm Telecommunications

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Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution

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