Feb 24, 2021 · In this paper, we propose a novel CNN called a parallel-connected residual channel attention network (PCRCAN).
In this paper, we propose a novel CNN called a parallel-connected residual channel attention network (PCRCAN). Specifically, inspired by group convolution, we ...
Nov 30, 2020 · In recent years, convolutional neural networks (CNNs) have obtained promising results in single-image super-resolution (SR) for remote ...
In recent years, convolutional neural networks (CNNs) have obtained promising results in single-image super-resolution (SR) for remote sensing images.
Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution ... super-resolution via mixed high-order attention network ...
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Nov 16, 2022 · We propose a new reference-based super-resolution method called a Residual-Dense Hybrid Attention Network (R-DHAN), which uses the rich texture information in ...
Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution. Y. Li, Y. Iwamoto, L. Lin, and Y. Chen.
This work proposes a novel method named deep memory connected network (DMCN) based on a convolutional neural network to reconstruct high-quality ...
We propose a multi-scale attention network (MSAN) by cascading multiple multi-scale attention blocks (MSAB), each of which integrates a multi-scale cross block ...
Mar 13, 2024 · Abstract—High-resolution remote sensing imagery finds appli- cations in diverse fields, such as land-use mapping, crop planning,.