METHOD AND APPARATUS FOR USING A REGIONALLY SPECIFIC SPECTRAL MODEL TO IDENTIFY THE SPECTRAL BANDS FOR USE FOR ISOLATING REMOTELY SENSED MATERIALS OF INTEREST

• 1. 一种结合高光谱特征的多光谱遥感影像特定地物提取方法 [P] . 中国专利： CN113591775A . 2021-11-02
• 2. 基于感兴趣区域的海岸带高光谱图像分布式有损编码和解码方法 [P] . 中国专利： CN105825530B . 2019.02.15
• 3. Method and apparatus for using a regionally specific spectral model to identify the spectral bands for use for isolating remotely sensed materials of interest [P] . 美国专利： US10462389B2 . 2019-10-29

  机译： 用于使用区域特定光谱模型来识别光谱带以隔离感兴趣的遥感材料的方法和设备

• 4. INVERSE MODELING FOR CHARACTERISTIC PREDICTION FROM MULTI-SPECTRAL AND HYPER-SPECTRAL REMOTE SENSED DATASETS [P] . EP2430500B1 . 2021-07-14

  机译： 来自多光谱和超光谱遥感数据集的特征预测的逆建模

• 5. INVERSE MODELING FOR CHARACTERISTIC PREDICTION FROM MULTI-SPECTRAL AND HYPER-SPECTRAL REMOTE SENSED DATASETS [P] . CA2760817C . 2016-02-09

  机译： 从多光谱和超光谱遥感数据集中进行特征预测的逆建模

• 1. Encoding Methods of Spectral Vector in Hyperspectral Romote Sensing Image [J] . 方涛, 唐宏, 施鹏飞 上海大学学报：英文版 . 2005,第001期
• 2. Corn Yield Forecasting in Northeast China Using Remotely Sensed Spectral Indices and Crop Phenology Metrics [J] . WANG Meng, TAO Fu-lu, SHI Wen-jiao 农业科学学报：英文版 . 2014,第007期
• 3. Comparison of finite difference and pseudo-spectral methods in forward modelling based on metal ore model of random media [J] . LIU DongyuHAN LiguoZHANG Pan, XU Dexin 世界地质（英文版） . 2016,第002期
• 4. HIGH-ACCURACY BAND TO BAND REGISTRATION METHOD FOR MULTI-SPECTRAL IMAGES OF HJ-1A/B [J] . Lu Hao, Liu Tuanjie, Zhao Haiqing 电子科学学刊（英文版） . 2012,第005期
• 5. Regionally and Locally Adaptive Models for Retrieving Chlorophyll-a Concentration in Inland Waters From Remotely Sensed Multispectral and Hyperspectral Imagery [J] . Min Xu, Hongxing Liu, Richard Beck, IEEE Transactions on Geoscience and Remote Sensing . 2019,第7期
• 6. A REGIONAL SAHELIAN GRASSLAND MODEL TO BE COUPLED WITH MULTISPECTRAL SATELLITE DATA .2. TOWARD THE CONTROL OF ITS SIMULATIONS BY REMOTELY SENSED INDICES [J] . Loseen D., Rambal S., Gaston A., Remote Sensing of Environment: An Interdisciplinary Journal . 1995,第3期
• 7. A comparison of the classification of wetland characteristics by linear spectral mixture modelling and traditional hard classifiers on multispectral remotely sensed imagery in southern India [J] . Shanmugam P, Ahn YH, Sanjeevi S Ecological Modelling . 2006,第4期
• 8. General and specific methods studying on bands selection of hyperspectral remote sensing data [C] . Wei Zheng, Zhang Xia, Zhang Bing, Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International . 2005
• 9. Exploiting remotely sensed hyperspectral data via spectral band grouping for dimensionality reduction and multiclassifiers. [D] . Venkataraman, Shilpa. 2005
• 10. Classification of Rotylenchulus reniformis Numbers in Cotton Using Remotely Sensed Hyperspectral Data on Self-Organizing Maps [O] . Rushabh A. Doshi, Roger L. King, Gary W. Lawrence 2010
• 11. An Improved Ant Colony Algorithm for Optimized Band Selection of Hyperspectral Remotely Sensed Imagery [O] . Xiaohui Ding, Huapeng Li, Ji Yang, 2020
• 12. Develop techniques and procedures, using multispectral systems, to identify from remotely sensed data the physical and thermal characteristics of plants and soil [R] . 1975

• 1. Crop Discrimination Using Field Hyper Spectral Remotely Sensed Data [J] . Sayed M. Arafat ,Mohamed A. Aboelghar ,Eslam F. Ahmed . 遥感技术进展（英文） . 2013,第2期
• 2. 法庭科学应用光谱成像技术感兴趣区域选择方法的研究 [C] . 黄威 ,王桂强 ,许小京 . 2010中国印刷与包装学术会议 . 2010
• 3. 高光谱遥感资料用于海岸带分类与沙滩表面承载特性的研究 [A] . 周宏杰 . 2005