Optics and Precision Engineering, Volume. 32, Issue 4, 622(2024)
Multi-spectral image compression by fusing multi-scale feature convolutional neural networks
[1] LIU B, ZHANG J P, LI Z. An Improved APAP algorithm via line segment correction for UAV multispectral image stitching[C], 6057-6060(2022).
[2] WANG C X, WANG P, MA N. A New Water detection for multispectral images based on data simulation and random forest[C], 3191-3194(2022).
[3] VALDEZ A E, CASTAÑEDA M A P, GÓMEZ-ROJAS J et al. Canopy extraction in a banana crop from UAV captured multispectral images[C], 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] THERAN C A, ALVAREZ M A, ARZUAGA E et al. Hyperspectral and multispectral image fusion using a multi-level propagation learning network[C], 1-5(2021).
[6] SATHIYAPRASAD B, KUMAR B S. Multi spectral image retrieval in remote sensing big data using fast recurrent convolutional neural network[C], 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] YU X Q, ZHAO J X, ZHU T et al. Analysis of JPEG2000 compression quality of optical satellite images[C], 500-503(2022).
[9] KIM B J, PEARLMAN W A. An Embedded wavelet video coder using three-dimensional set partitioning in hierarchical trees (SPIHT)[C], 251-260(2002).
[10] SAID A, PEARLMAN W A. An image multiresolution representation for lossless and lossy compression[J]. IEEE Transactions on Image Processing, 5, 1303-1310(1996).
[12] DONG C, DENG Y B, LOY C C et al. Compression artifacts reduction by a deep convolutional network[C], 576-584(2015).
[14] DAVID M, BALLÉ J, TODERICI G et al. Joint autoregressive and hierarchical priors for learned image compression[C](2018).
[15] KONG F Q, ZHAO S M, LI Y S et al. A residual network framework based on weighted feature channels for multispectral image compression[J]. Ad Hoc Networks, 107, 102272(2020).
[16] KONG F Q, HU K D, LI Y S et al. Spectral-spatial feature partitioned extraction based on CNN for multispectral image compression[J]. Remote Sensing, 13, 9(2020).
[17] ROY S K, KRISHNA G, DUBEY S R et al. HybridSN: exploring 3-D-2-D CNN feature hierarchy for hyperspectral image classification[J]. IEEE Geoscience and Remote Sensing Letters, 17, 277-281(2020).
[18] CAO T B, ZHANG N, ZHAO S M et al.
[19] KONG F Q, HU K D, LI Y S et al. A spectral-spatial feature extraction method with polydirectional CNN for multispectral image compression[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 2745-2758(2022).
[20] KONG F Q, CAO T B, LI Y S et al. Multi-scale spatial-spectral attention network for multispectral image compression based on variational autoencoder[J]. Signal Processing, 198, 108589(2022).
Get Citation
Copy Citation Text
Lili ZHANG, Zikun CHEN, Tianpeng PAN, Lele QU. Multi-spectral image compression by fusing multi-scale feature convolutional neural networks[J]. Optics and Precision Engineering, 2024, 32(4): 622
Category:
Received: Jul. 20, 2023
Accepted: --
Published Online: Apr. 2, 2024
The Author Email: Zikun CHEN (chenzikun1@stu.sau.edu.com)