[4] [4] AHARON M,ELAD M,BRUCKSTEIN A.K-SVD:an algorithm for designing overcomplete dictionaries for sparse representation［J］.IEEE Transactions on Signal Processing,2006,54(11):4311-4322.

[5] [5] DABOV K,FOI A,KATKOVNIK V,et al.Image denoising by sparse 3-D transform-domain collaborative filtering［J］.IEEE Transactions on Image Processing,2007,16(8):2080-2095.

[6] [6] GU S H,ZHANG L,ZUO W M,et al.Weighted nuclear norm minimization with application to image denoising［C］//IEEE Conference on Computer Vision and Pattern Recognition.Columbus:IEEE,2014:2862-2869.

[7] [7] ZHANG K,ZUO W M,CHEN Y J,et al.Beyond a Gaussian denoiser:residual learning of deep CNN for image denoising［J］.IEEE Transactions on Image Processing,2017, 26(7):3142-3155.

[8] [8] TIAN C,XU Y,FEI L,et al.Enhanced CNN for image denoising［J］.CAAI Transactions on Intelligence Technology,2019,4(1):17-23.

[9] [9] TIAN C W,XU Y,LI Z Y,et al.Attention-guided CNN for image denoising［J］.Neural Networks,2020,124:117-129.

[12] [12] HAN L T,ZHAO Y C,LYU H Y,et al.Remote sensing image denoising based on deep and shallow feature fusion and attention mechanism［J］.Remote Sensing, 2022,14(5):1243.

[13] [13] ZHANG Y L,LI K P,LI K,et al.Image super-resolution using very deep residual channel attention networks［C］//European Conference on Computer Vision (ECCV).Cham:Springer,2018:294-310.

[14] [14] LIU Y C,SHAO Z R,HOFFMANN N.Global attention mechanism:retain information to enhance channel-spatial interactions［EB/OL］.(2021-12-10)［2023-07-20］.https://arxiv.org/abs/2112.05561.

[15] [15] ZAMIR S W,ARORA A,KHAN S,et al.Restormer:efficient transformer for high-resolution image restoration［C］//IEEE/CVF Conference on Computer Vision and Pattern Recognition.New Orleans:IEEE,2022:5718-5729.

[16] [16] DING X H,GUO Y C,DING G G,et al.ACNet:strengthening the kernel skeletons for powerful CNN via asymmetric convolution blocks［C］//IEEE/CVF International Conference on Computer Vision.Seoul:IEEE,2019:1911-1920.

[17] [17] YAO C,TANG Y,SUN J,et al.Multiscale residual fusion network for image denoising［J］.IET Image Processing, 2022,16(3):878-887.

[18] [18] WOO S,PARK J,LEE J Y,et al.CBAM:convolutional block attention module［C］//European Conference on Computer Vision (ECCV).Cham:Springer,2018:3-19.

[19] [19] CHENG G,HAN J W,LU X Q.Remote sensing image scene classification:benchmark and state of the art［J］.Proceedings of the IEEE,2017,105(10):1865-1883.

[20] [20] YANG Y,NEWSAM S.Bag-of-visual-words and spatial extensions for land-use classification［C］//The 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems.［S.l.］:ACM,2010:270-279.