HYPERSPECTRAL IMAGING SYSTEM AND METHOD FOR PROVIDING A HYPERSPECTRAL IMAGE OF AN AREA OF A REMOTE OBJECT

• 1. 经由超光谱成像和分析实时监控、参数分析、和调节整个区域中的受污染室外空气颗粒物 [P] . 中国专利： CN103109209B . 2015.11.25
• 2. 经由超光谱成像和分析实时监控、参数分析、和调节整个区域中的受污染室外空气颗粒物 [P] . 中国专利： CN103109209A . 2013-05-15
• 3. HYPERSPECTRAL IMAGING SYSTEM AND METHOD FOR PROVIDING A HYPERSPECTRAL IMAGE OF AN AREA OF A REMOTE OBJECT [P] . 世界知识产权组织专利： WO2019113279A1 . 2019-06-13

  机译： 提供远物区域的超光谱图像的超光谱成像系统和方法

• 4. HYPERSPECTRAL IMAGING SYSTEMS AND METHODS FOR IMAGING A REMOTE OBJECT [P] . 日本专利： JP2017501394A . 2017-01-12

  机译： 超光谱成像系统和远程物体成像方法

• 5. Hyperspectral imaging systems and methods for imaging a remote object [P] . 美国专利： US9267843B2 . 2016-02-23

  机译： 高光谱成像系统和远程物体成像方法

• 1. Classification of hyperspectral remote sensing images based on simulated annealing genetic algorithm and multiple instance learning [J] . 高红民, 周惠, 徐立中, 中南大学学报（英文版） . 2014,第001期
• 2. Secure Cloud-Aided Object Recognition on Hyperspectral Remote Sensing Images [J] . Gao Peng, Zhang Hanlin, Yu Jia, Internet of Things Journal, IEEE . 2021,第5期
• 3. An Object-Oriented Classification for Hyperspectral Remote Sensing Images Based on Improved Genetic Algorithm and Support Vector Regression [J] . Hongmin Gao, Chenming Li Journal of computational and theoretical nanoscience . 2015,第11期
• 4. Cloud removal for hyperspectral remotely sensed images based on hyperspectral information fusion [J] . Zhang Lifu, Zhang Mingyue, Sun Xuejian, International journal of remote sensing . 2018,第19a20期
• 5. Whole-surface round object imaging method using line-scan hyperspectral imaging system [C] . I. Baek, S. A. Gadsden, B. K. Cho, Sensing for Agriculture and Food Quality and Safety VIII . 2016
• 6. Object Detection in High Resolution Aerial Images and Hyperspectral Remote Sensing Images [D] . Liang, Yilong . 2019
• 7. Correction: Modified shape index for object-based random forest image classification of agricultural systems using airborne hyperspectral datasets [O] . Eric Ariel L. Salas, Sakthi Kumaran Subburayalu 2012
• 8. An Investigation of Image Segmentation Method for Remotely Sensed Hyperspectral Images with Region Object Aggregations [O] . A. Nirmala 2016

• 1. Feature extraction and classification of hyperspectral remote sensing image oriented to easy mixed-classified objects [J] . ZHANG Lian-peng~1 LIU Guo-lin~2 JIANG Tao~2 (1. Department of Territory Information and Surveying Engineering Xuzhou Normal University Xuzhou 221009 China ,2. Shandong University of Science and Technology Tai’an 271019China) . 中国有色金属学会会刊：英文版 . 2005,第S1期
• 2. Classification of hyperspectral remote sensing images based on simulated annealing genetic algorithm and multiple instance learning [J] . 高红民 ,周惠 ,徐立中 . 中南大学学报 . 2014,第001期
• 3. Calibration and Characterization of Hyperspectral Imaging Systems Used for Natural Scene Imagery [J] . Nsikak E. Ekpenyong . 光学与光子学期刊（英文） . 2019,第7期
• 4. A Comprehensive Review on Pixel Oriented and Object Oriented Methods for Information Extraction from Remotely Sensed Satellite Images with a Special Emphasis on Cryospheric Applications [J] . Shridhar D. Jawak ,Prapti Devliyal ,Alvarinho J. Luis . 遥感技术进展（英文） . 2015,第3期
• 5. LPADM真皮替代物血管化进程评价新方法——分子超光谱成像研究 [C] . 罗旭 ,李庆利 ,褚君浩 . 中国医师协会第三届创伤外科医师年会 . 2017
• 6. 基于AOTF的偏振超光谱成像系统研究 [A] . 何占文 . 2015