[1] B LIU, J P ZHANG, Z LI. An Improved APAP algorithm via line segment correction for UAV multispectral image stitching, 6057-6060(2022).

[2] C X WANG, P WANG, N MA. A New Water detection for multispectral images based on data simulation and random forest, 3191-3194(2022).

[3] A E VALDEZ, M A P CASTAÑEDA, J GÓMEZ-ROJAS et al. Canopy extraction in a banana crop from UAV captured multispectral images, 1-6(2022).

[4] [4] 王志鹏， 王晓飞. 利用时序多光谱影像实现红树莓地种植区域的自动提取［J］. 光学 精密工程， 2023， 31（7）： 1096-1106. doi: 10.37188/ope.20233107.1096WANGZ P， WANGX F. Automatic extraction of red raspberry planting areas using time series multispectral images［J］. Opt. Precision Eng.， 2023， 31（7）： 1096-1106.（in Chinese）. doi: 10.37188/ope.20233107.1096

[5] C A THERAN, M A ALVAREZ, E ARZUAGA et al. Hyperspectral and multispectral image fusion using a multi-level propagation learning network, 1-5(2021).

[6] B SATHIYAPRASAD, B S KUMAR. Multi spectral image retrieval in remote sensing big data using fast recurrent convolutional neural network, 1-7(2022).

[7] [7] 贾建鑫， 孙海彬， 蒋长辉， 等. 多源遥感数据的道路提取技术研究现状及展望［J］. 光学 精密工程， 2021， 29（2）： 430-442. doi: 10.37188/OPE.20212902.0430JIAJ X， SUNH B， JIANGC H， et al. Road extraction technology based on multi-source remote sensing data： review and prospects［J］. Opt. Precision Eng.， 2021， 29（2）： 430-442.（in Chinese）. doi: 10.37188/OPE.20212902.0430

[8] X Q YU, J X ZHAO, T ZHU et al. Analysis of JPEG2000 compression quality of optical satellite images, 500-503(2022).

[9] B J KIM, W A PEARLMAN. An Embedded wavelet video coder using three-dimensional set partitioning in hierarchical trees （SPIHT）, 251-260(2002).

[10] A SAID, W A PEARLMAN. An image multiresolution representation for lossless and lossy compression. IEEE Transactions on Image Processing, 5, 1303-1310(1996).

[11] G TODERICI, S M O'MALLEY, S J HWANG et al. Variable Rate Image Compression with Recurrent Neural Networks. arXiv, 1511-06085(2015). http：//arxiv.org/abs/1511.06085.pdf

[12] C DONG, Y B DENG, C C LOY et al. Compression artifacts reduction by a deep convolutional network, 576-584(2015).

[13] J BALLÉ, D MINNEN, S SINGH et al. Variational Image Compression with a Scale Hyperprior. arXiv, 1802-01436(2018). http：//arxiv.org/abs/1802.01436.pdf

[14] M DAVID, J BALLÉ, G TODERICI et al. Joint autoregressive and hierarchical priors for learned image compression(2018).

[15] F Q KONG, S M ZHAO, Y S LI et al. A residual network framework based on weighted feature channels for multispectral image compression. Ad Hoc Networks, 107, 102272(2020).

[16] F Q KONG, K D HU, Y S LI et al. Spectral-spatial feature partitioned extraction based on CNN for multispectral image compression. Remote Sensing, 13, 9(2020).

[17] S K ROY, G KRISHNA, S R DUBEY et al. HybridSN： exploring 3-D-2-D CNN feature hierarchy for hyperspectral image classification. IEEE Geoscience and Remote Sensing Letters, 17, 277-281(2020).

[18] T B CAO, N ZHANG, S M ZHAO et al. Spectral-Spatial Feature Completely Separated Extraction with Tensor CNN for Multispectral Image Compression. Lecture Notes in Electrical Engineering, 407-413(2022).

[19] F Q KONG, K D HU, Y S LI et al. A spectral-spatial feature extraction method with polydirectional CNN for multispectral image compression. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 2745-2758(2022).

[20] F Q KONG, T B CAO, Y S LI et al. Multi-scale spatial-spectral attention network for multispectral image compression based on variational autoencoder. Signal Processing, 198, 108589(2022).