[1] LU Bing,DAO P D,LIU Jiangui,et al.Recent advances of hyperspectral imaging technology and applications in agriculture[J].Remote Sensing,2020,12(16):2659. [2] SCAFUTTO R D M,DE SOUZA FILHO C R,DE OLIVEIRA W J.Hyperspectral remote sensing detection of petroleum hydrocarbons in mixtures with mineral substrates:implications for onshore exploration and monitoring[J].ISPRS Journal of Photogrammetry and Remote Sensing,2017,128:146-157. [3] ZHANG Ning,WANG Yueting,ZHANG Xiaoli.Extraction of tree crowns damaged by Dendrolimus tabulaeformis Tsai et Liu via spectral-spatial classification using UAV-based hyperspectral images[J].Plant Methods,2020,16:135. [4] ZHAO Jiale,ZHOU Bing,WANG Guanglong,et al.Camouflage target recognition based on dimension reduction analysis of hyperspectral image regions[J].Photonics,2022,9(9):640. [5] GAN Yuhang,LUO Fulin,LIU Juhua,et al.Feature extraction based multi-structure manifold embedding for hyperspectral remote sensing image classification[J].IEEE Access,2017,5:25069-25080. [6] REN Jiansi,WANG Ruoxiang,LIU Gang,et al.Partitioned relief-F method for dimensionality reduction of hyperspectral images[J].Remote Sensing,2020,12(7):1104. [7] CUI Zhi,CAI Zhenhua.Feature extraction of hyperspectral images based on subspace band selection and transform-domain recursive filtering[J].Traitement Du Signal,2022,39(3):845-852. [8] OU Xianfeng,WU Meng,TU Bing,et al.Multi-objective unsupervised band selection method for hyperspectral images classification[J].IEEE Transactions on Image Processing,2023,32:1952-1965. [9] FARRELL M D,MERSEREAU R M.On the impact of PCA dimension reduction for hyperspectral detection of difficult targets[J].IEEE Geoscience and Remote Sensing Letters,2005,2(2):192-195. [10] DU Qian,YOUNAN N H.Dimensionality reduction and linear discriminant analysis for hyperspectral image classification[M]//Knowledge-Based Intelligent Information and Engineering Systems.Berlin,Heidelberg:Springer Berlin Heidelberg,2008:392-399. [11] SAI KISHORE K M,KUMAR BEHERA M,CHAKRAVARTY S,et al.Hyperspectral image classification using minimum noise fraction and random forest[C]//Proceedings of 2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE).Bhubaneswar:IEEE,2020. [12] KANG Xudong,XIANG Xuanlin,LI Shutao,et al.PCA-based edge-preserving features for hyperspectral image classification[J].IEEE Transactions on Geoscience and Remote Sensing,2017,55(12):7140-7151. [13] WANG Xiaotao.Kronecker factorization-based multinomial logistic regression for hyperspectral image classification[J].IEEE Geoscience and Remote Sensing Letters,2021,19:5508005. [14] XIA Junshi,GHAMISI P,YOKOYA N,et al.Random forest ensembles and extended multiextinction profiles for hyperspectral image classification[J].IEEE Transactions on Geoscience and Remote Sensing,2018,56(1):202-216. [15] MELGANI F,BRUZZONE L.Classification of hyperspectral remote sensing images with support vector machines[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(8):1778-1790. [16] CAO Xianghai,WANG Xiaozhen,WANG Da,et al.Spectral spatial hyperspectral image classification using cascaded Markov random fields[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2019,12(12):4861-4872. [17] LI Changli,ZUO Hang,FAN Tanghuai.Hyperspectral image classification based on gray level co-occurrence matrix and local mean decomposition[C]//Proceedings of the 4th International Conference on Systems and Informatics (ICSAI).Hangzhou:IEEE,2017:1219-1223. [18] DUAN Puhong,GHAMISI P,KANG Xudong,et al.Fusion of dual spatial information for hyperspectral image classification[J].IEEE Transactions on Geoscience and Remote Sensing,2021,59(9):7726-7738. [19] HUANG Shiqi,LU Ying,WANG Wenqing,et al.Multi-scale guided feature extraction and classification algorithm for hyperspectral images[J].Scientific Reports,2021,11(1):18396. [20] HADOUX X,JAY S,RABATEL G,et al.A spectral-spatial approach for hyperspectral image classification using spatial regularization on supervised score image[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2015,8(6):2361-2369. [21] QU Shenming,LIU Xuan,LIANG Shengbin.Multi-scale superpixels dimension reduction hyperspectral image classification algorithm based on low rank sparse representation joint hierarchical recursive filtering[J].Sensors,2021,21(11):3846. [22] 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,2020,17(2):277-281. [23] MOU Lichao,GHAMISI P,ZHU XIAO xiang.Deep recurrent neural networks for hyperspectral image classification[J].IEEE Transactions on Geoscience and Remote Sensing,2017,55(7):3639-3655. [24] ZHANG Fan,BAI Jing,ZHANG Jingsen,et al.An optimized training method for GAN-based hyperspectral image classification[J].IEEE Geoscience and Remote Sensing Letters,2021,18(10):1791-1795. [25] GASTAL E S L,OLIVEIRA M M.Domain transform for edge-aware image and video processing[J].ACM Transactions on Graphics,2011,30(4):1-12. [26] XU Li,YAN Qiong,XIA Yang,et al.Structure extraction from texture via relative total variation[J].ACM Transactions on Graphics,2012,31(6):1-10. [27] XU Li,LU Cewu,XU Yi,et al.Image smoothing via L0 gradient minimization[J].ACM Transactions on Graphics,2011,30(6):1-12. [28] 崔宾阁,吴亚男,钟勇,等.高光谱图像滚动引导递归滤波与地物分类[J].遥感学报,2019,23(3):431-442. |