Статті в журналах з теми "HYPER SPECTRAL IMAGE CLASSIFICATION"
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HUANG Hong, 黄. 鸿., 陈美利 CHEN Mei-li, 段宇乐 DUAN Yu-le, and 石光耀 SHI Guang-yao. "Hyper-spectral image classification using spatial-spectral manifold reconstruction." Optics and Precision Engineering 26, no. 7 (2018): 1827–36. http://dx.doi.org/10.3788/ope.20182607.1827.
Повний текст джерелаJavadi, P. "USE SATELLITE IMAGES AND IMPROVE THE ACCURACY OF HYPERSPECTRAL IMAGE WITH THE CLASSIFICATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (December 11, 2015): 343–49. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-343-2015.
Повний текст джерелаAlhayani, Bilal, and Haci Ilhan. "Hyper spectral Image classification using Dimensionality Reduction Techniques." IJIREEICE 5, no. 4 (April 15, 2017): 71–74. http://dx.doi.org/10.17148/ijireeice.2017.5414.
Повний текст джерелаSharif, I., and S. Khare. "Comparative Analysis of Haar and Daubechies Wavelet for Hyper Spectral Image Classification." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 937–41. http://dx.doi.org/10.5194/isprsarchives-xl-8-937-2014.
Повний текст джерелаShanmugapriya, G., and . "An Efficient Spectral Spatial Classification for Hyper Spectral Images." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 1050. http://dx.doi.org/10.14419/ijet.v7i3.12.17630.
Повний текст джерелаBanit', Ibtissam, N. A. ouagua, Mounir Ait Kerroum, Ahmed Hammouch, and Driss Aboutajdine. "Band selection by mutual information for hyper-spectral image classification." International Journal of Advanced Intelligence Paradigms 8, no. 1 (2016): 98. http://dx.doi.org/10.1504/ijaip.2016.074791.
Повний текст джерелаTANG Yan-hui, 唐艳慧, 赵鹏 ZHAO Peng, and 王承琨 WANG Cheng-kun. "Texture classification algorithm of wood hyper-spectral image based on multi-fractal spectra." Chinese Journal of Liquid Crystals and Displays 34, no. 12 (2019): 1182–90. http://dx.doi.org/10.3788/yjyxs20193412.1182.
Повний текст джерелаLavanya, K., R. Jaya Subalakshmi, T. Tamizharasi, Lydia Jane, and Akila Victor. "Unsupervised Unmixing and Segmentation of Hyper Spectral Images Accounting for Soil Fertility." Scalable Computing: Practice and Experience 23, no. 4 (December 23, 2022): 291–301. http://dx.doi.org/10.12694/scpe.v23i4.2031.
Повний текст джерелаZhang, Tianxiang, Wenxuan Wang, Jing Wang, Yuanxiu Cai, Zhifang Yang, and Jiangyun Li. "Hyper-LGNet: Coupling Local and Global Features for Hyperspectral Image Classification." Remote Sensing 14, no. 20 (October 20, 2022): 5251. http://dx.doi.org/10.3390/rs14205251.
Повний текст джерелаLi, Runya, and Shenglian Li. "Multimedia Image Data Analysis Based on KNN Algorithm." Computational Intelligence and Neuroscience 2022 (April 12, 2022): 1–8. http://dx.doi.org/10.1155/2022/7963603.
Повний текст джерелаMunishamaiaha, Kavitha, Senthil Kumar Kannan, DhilipKumar Venkatesan, Michał Jasiński, Filip Novak, Radomir Gono, and Zbigniew Leonowicz. "Hyperspectral Image Classification with Deep CNN Using an Enhanced Elephant Herding Optimization for Updating Hyper-Parameters." Electronics 12, no. 5 (February 27, 2023): 1157. http://dx.doi.org/10.3390/electronics12051157.
Повний текст джерелаKavitha, K., and Dr S. Arivazhagan. "A Novel Feature Derivation Technique for SVM based Hyper Spectral Image Classification." International Journal of Computer Applications 1, no. 15 (February 25, 2010): 27–34. http://dx.doi.org/10.5120/327-496.
Повний текст джерелаSegonne, Charlotte, Nathalie Huret, Sébastien Payan, Mathieu Gouhier, and Valéry Catoire. "A Spectra Classification Methodology of Hyperspectral Infrared Images for Near Real-Time Estimation of the SO2 Emission Flux from Mount Etna with LARA Radiative Transfer Retrieval Model." Remote Sensing 12, no. 24 (December 16, 2020): 4107. http://dx.doi.org/10.3390/rs12244107.
Повний текст джерелаMr. B. Naga Rajesh. "Effective Morphological Transformation and Sub-pixel Classification of Clustered Images." International Journal of New Practices in Management and Engineering 8, no. 01 (March 31, 2019): 08–14. http://dx.doi.org/10.17762/ijnpme.v8i01.74.
Повний текст джерелаArumuga Maria Devi, T., and P. Darwin. "Hyper Spectral Fruit Image Classification for Deep Learning Approaches and Neural Network Techniques." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 30, no. 03 (June 2022): 357–83. http://dx.doi.org/10.1142/s0218488522400116.
Повний текст джерелаHohmann, Martin, Damaris Hecht, Benjamin Lengenfelder, Moritz Späth, Florian Klämpfl, and Michael Schmidt. "Proof of Principle for Direct Reconstruction of Qualitative Depth Information from Turbid Media by a Single Hyper Spectral Image." Sensors 21, no. 8 (April 19, 2021): 2860. http://dx.doi.org/10.3390/s21082860.
Повний текст джерелаinto, Mur, and Nur Rochmah DPA. "Classification of Hyper spectral Image Using Support Vector Machine and Marker-Controlled Watershed." International Journal of Computer Trends and Technology 27, no. 2 (September 25, 2015): 70–75. http://dx.doi.org/10.14445/22312803/ijctt-v27p112.
Повний текст джерелаLiu, Q. J., L. H. Jing, L. M. Wang, and Q. Z. Lin. "A Method of Particle Swarm Optimized SVM Hyper-spectral Remote Sensing Image Classification." IOP Conference Series: Earth and Environmental Science 17 (March 18, 2014): 012205. http://dx.doi.org/10.1088/1755-1315/17/1/012205.
Повний текст джерелаMarwaha, R., A. Kumar, P. L. N. Raju, and Y. V. N. Krishna Murthy. "Target detection algorithm for airborne thermal hyperspectral data." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 827–32. http://dx.doi.org/10.5194/isprsarchives-xl-8-827-2014.
Повний текст джерелаGiulietti, Nicola, Silvia Discepolo, Paolo Castellini, and Milena Martarelli. "Correction of Substrate Spectral Distortion in Hyper-Spectral Imaging by Neural Network for Blood Stain Characterization." Sensors 22, no. 19 (September 27, 2022): 7311. http://dx.doi.org/10.3390/s22197311.
Повний текст джерелаKarthikeyan, A., S. Pavithra, and P. M. Anu. "Detection and Classification of 2D and 3D Hyper Spectral Image using Enhanced Harris Corner Detector." Scalable Computing: Practice and Experience 21, no. 1 (March 19, 2020): 93–100. http://dx.doi.org/10.12694/scpe.v21i1.1625.
Повний текст джерелаAwad, Mohamad M., and Marco Lauteri. "Self-Organizing Deep Learning (SO-UNet)—A Novel Framework to Classify Urban and Peri-Urban Forests." Sustainability 13, no. 10 (May 16, 2021): 5548. http://dx.doi.org/10.3390/su13105548.
Повний текст джерелаXie, Jiaxing, Jiajun Hua, Shaonan Chen, Peiwen Wu, Peng Gao, Daozong Sun, Zhendong Lyu, Shilei Lyu, Xiuyun Xue, and Jianqiang Lu. "HyperSFormer: A Transformer-Based End-to-End Hyperspectral Image Classification Method for Crop Classification." Remote Sensing 15, no. 14 (July 11, 2023): 3491. http://dx.doi.org/10.3390/rs15143491.
Повний текст джерелаShaikh, Muhammad Saad, Keyvan Jaferzadeh, Benny Thörnberg, and Johan Casselgren. "Calibration of a Hyper-Spectral Imaging System Using a Low-Cost Reference." Sensors 21, no. 11 (May 27, 2021): 3738. http://dx.doi.org/10.3390/s21113738.
Повний текст джерелаHobbs, Steven, Andrew Lambert, Michael J. Ryan, David J. Paull, and John Haythorpe. "Appraisal of Low-Cost Pushbroom Hyper-Spectral Sensor Systems for Material Classification in Reflectance." Sensors 21, no. 13 (June 27, 2021): 4398. http://dx.doi.org/10.3390/s21134398.
Повний текст джерелаDyson, Jack, Adriano Mancini, Emanuele Frontoni, and Primo Zingaretti. "Deep Learning for Soil and Crop Segmentation from Remotely Sensed Data." Remote Sensing 11, no. 16 (August 9, 2019): 1859. http://dx.doi.org/10.3390/rs11161859.
Повний текст джерелаPelletier, Charlotte, Geoffrey Webb, and François Petitjean. "Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series." Remote Sensing 11, no. 5 (March 4, 2019): 523. http://dx.doi.org/10.3390/rs11050523.
Повний текст джерелаFan, Yuhai, Yuiqing Wan, Hui Wang, Xingke Yang, Min Liang, Chunjuan Pan, Shaopeng Zhang, Wenbo Wang, and Furong Tan. "Application of an airborne hyper-spectral survey system CASI/SASI in the gold-silver-lead-zinc ore district of Huaniushan, Gansu, China." Geologia Croatica 74, no. 1 (February 28, 2021): 73–83. http://dx.doi.org/10.4154/gc.2021.04.
Повний текст джерелаCoppo, Peter, Leandro Chiarantini, and Luciano Alparone. "End-to-End Image Simulator for Optical Imaging Systems: Equations and Simulation Examples." Advances in Optical Technologies 2013 (January 15, 2013): 1–23. http://dx.doi.org/10.1155/2013/295950.
Повний текст джерелаSingh, Suraj Kumar, Shruti Kanga, and Sudhanshu. "Assessment of Geospatial Approaches Used for Classification of Crops." International Journal of Mathematical, Engineering and Management Sciences 3, no. 3 (September 1, 2018): 271–79. http://dx.doi.org/10.33889/ijmems.2018.3.3-019.
Повний текст джерелаAghighi, H., J. Trinder, S. Lim, and Y. Tarabalka. "Improved adaptive Markov random field based super-resolution mapping for mangrove tree identification." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-8 (November 27, 2014): 61–68. http://dx.doi.org/10.5194/isprsannals-ii-8-61-2014.
Повний текст джерелаHuang, Yuancheng, Liangpei Zhang, Pingxiang Li, and Yanfei Zhong. "High-resolution hyper-spectral image classification with parts-based feature and morphology profile in urban area." Geo-spatial Information Science 13, no. 2 (January 2010): 111–22. http://dx.doi.org/10.1007/s11806-010-0004-8.
Повний текст джерелаWan, Lei, Ma, and Cheng. "The Analysis on Similarity of Spectrum Analysis of Landslide and Bareland through Hyper-Spectrum Image Bands." Water 11, no. 11 (November 17, 2019): 2414. http://dx.doi.org/10.3390/w11112414.
Повний текст джерелаLi, Huo-Yuan, and Yong-Feng Qi. "A Hyper spectral Images Classification Method Based on Maximum Scatter Discriminant Analysis." ITM Web of Conferences 7 (2016): 02007. http://dx.doi.org/10.1051/itmconf/20160702007.
Повний текст джерелаVoulodimos, A., K. Fokeas, N. Doulamis, A. Doulamis, and K. Makantasis. "NOISE-TOLERANT HYPERSPECTRAL IMAGE CLASSIFICATION USING DISCRETE COSINE TRANSFORM AND CONVOLUTIONAL NEURAL NETWORKS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 14, 2020): 1281–87. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-1281-2020.
Повний текст джерелаDai, Xiaoai, Xuwei He, Shouheng Guo, Senhao Liu, Fujiang Ji, and Huihua Ruan. "Research on hyper-spectral remote sensing image classification by applying stacked de-noising auto-encoders neural network." Multimedia Tools and Applications 80, no. 14 (March 15, 2021): 21219–39. http://dx.doi.org/10.1007/s11042-021-10735-0.
Повний текст джерелаGopal, Narendra, and Sivakumar D. "DIMENSIONALITY REDUCTION BASED CLASSIFICATION USING GENERATIVE ADVERSARIAL NETWORKS DATASET GENERATION." ICTACT Journal on Image and Video Processing 13, no. 01 (August 1, 2022): 2786–90. http://dx.doi.org/10.21917/ijivp.2022.0396.
Повний текст джерелаS, Shitharth, Hariprasath Manoharan, Abdulrhman M. Alshareef, Ayman Yafoz, Hassan Alkhiri, and Olfat M. Mirza. "Hyper spectral image classifications for monitoring harvests in agriculture using fly optimization algorithm." Computers and Electrical Engineering 103 (October 2022): 108400. http://dx.doi.org/10.1016/j.compeleceng.2022.108400.
Повний текст джерелаJinglei, Tang, Miao Ronghui, Zhang Zhiyong, Xin Jing, and Wang Dong. "Distance-based separability criterion of ROI in classification of farmland hyper-spectral images." International Journal of Agricultural and Biological Engineering 10, no. 5 (2017): 177–85. http://dx.doi.org/10.25165/j.ijabe.20171005.2264.
Повний текст джерелаVinokurov, V. O., I. A. Matveeva, Y. A. Khristoforova, O. O. Myakinin, I. A. Bratchenko, L. A. Bratchenko, A. A. Moryatov, et al. "Neural network classifier of hyperspectral images of skin pathologies." Computer Optics 45, no. 6 (November 2021): 879–86. http://dx.doi.org/10.18287/2412-6179-co-832.
Повний текст джерелаJamali, A. "A FIT-FOR-PURPOSE ALGORITHM FOR ENVIRONMENTAL MONITORING BASED ON MAXIMUM LIKELIHOOD, SUPPORT VECTOR MACHINE AND RANDOM FOREST." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W7 (March 1, 2019): 25–32. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w7-25-2019.
Повний текст джерелаMohammed, Bakhtyar Ahmed, and Muzhir Shaban Al-Ani. "Review Research of Medical Image Analysis Using Deep Learning." UHD Journal of Science and Technology 4, no. 2 (August 27, 2020): 75. http://dx.doi.org/10.21928/uhdjst.v4n2y2020.pp75-90.
Повний текст джерелаJohn, C. M., and N. Kavya. "Integration of multispectral satellite and hyperspectral field data for aquatic macrophyte studies." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 581–88. http://dx.doi.org/10.5194/isprsarchives-xl-8-581-2014.
Повний текст джерелаWang, Wenxuan, Leiming Liu, Tianxiang Zhang, Jiachen Shen, Jing Wang, and Jiangyun Li. "Hyper-ES2T: Efficient Spatial–Spectral Transformer for the classification of hyperspectral remote sensing images." International Journal of Applied Earth Observation and Geoinformation 113 (September 2022): 103005. http://dx.doi.org/10.1016/j.jag.2022.103005.
Повний текст джерелаHonkavaara, E., R. Näsi, R. Oliveira, N. Viljanen, J. Suomalainen, E. Khoramshahi, T. Hakala, et al. "USING MULTITEMPORAL HYPER- AND MULTISPECTRAL UAV IMAGING FOR DETECTING BARK BEETLE INFESTATION ON NORWAY SPRUCE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 21, 2020): 429–34. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-429-2020.
Повний текст джерелаMalinee, Rachane, Dimitris Stratoulias, and Narissara Nuthammachot. "Detection of Oil Palm Disease in Plantations in Krabi Province, Thailand with High Spatial Resolution Satellite Imagery." Agriculture 11, no. 3 (March 16, 2021): 251. http://dx.doi.org/10.3390/agriculture11030251.
Повний текст джерелаNotesco, Weksler, and Ben-Dor. "Mineral Classification of Soils Using Hyperspectral Longwave Infrared (LWIR) Ground-Based Data." Remote Sensing 11, no. 12 (June 16, 2019): 1429. http://dx.doi.org/10.3390/rs11121429.
Повний текст джерелаIdoughi, Ramzi, Thomas H. G. Vidal, Pierre-Yves Foucher, Marc-André Gagnon, and Xavier Briottet. "Background Radiance Estimation for Gas Plume Quantification for Airborne Hyperspectral Thermal Imaging." Journal of Spectroscopy 2016 (2016): 1–17. http://dx.doi.org/10.1155/2016/5428762.
Повний текст джерелаGörlich, Florian, Elias Marks, Anne-Katrin Mahlein, Kathrin König, Philipp Lottes, and Cyrill Stachniss. "UAV-Based Classification of Cercospora Leaf Spot Using RGB Images." Drones 5, no. 2 (May 5, 2021): 34. http://dx.doi.org/10.3390/drones5020034.
Повний текст джерелаPark, Keunho, Young ki Hong, Gook hwan Kim, and Joonwhoan Lee. "Classification of apple leaf conditions in hyper-spectral images for diagnosis of Marssonina blotch using mRMR and deep neural network." Computers and Electronics in Agriculture 148 (May 2018): 179–87. http://dx.doi.org/10.1016/j.compag.2018.02.025.
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