Literatura académica sobre el tema "Multispectral 3D model"
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Artículos de revistas sobre el tema "Multispectral 3D model"
Sun, Guoxiang, Xiaochan Wang, Ye Sun, Yongqian Ding y Wei Lu. "Measurement Method Based on Multispectral Three-Dimensional Imaging for the Chlorophyll Contents of Greenhouse Tomato Plants". Sensors 19, n.º 15 (30 de julio de 2019): 3345. http://dx.doi.org/10.3390/s19153345.
Texto completoSun, Guoxiang, Yongqian Ding, Xiaochan Wang, Wei Lu, Ye Sun y Hongfeng Yu. "Nondestructive Determination of Nitrogen, Phosphorus and Potassium Contents in Greenhouse Tomato Plants Based on Multispectral Three-Dimensional Imaging". Sensors 19, n.º 23 (1 de diciembre de 2019): 5295. http://dx.doi.org/10.3390/s19235295.
Texto completoWisotzky, Eric L., Jean-Claude Rosenthal, Anna Hilsmann, Peter Eisert y Florian C. Uecker. "A multispectral 3D-Endoscope for Cholesteatoma Removal". Current Directions in Biomedical Engineering 6, n.º 3 (1 de septiembre de 2020): 257–60. http://dx.doi.org/10.1515/cdbme-2020-3065.
Texto completoZainuddin, K., Z. Majid, M. F. M. Ariff, K. M. Idris, M. A. Abbas y N. Darwin. "3D MODELING FOR ROCK ART DOCUMENTATION USING LIGHTWEIGHT MULTISPECTRAL CAMERA". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W9 (31 de enero de 2019): 787–93. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w9-787-2019.
Texto completoLARSON, ADAM M., ANTHONY LEE, PO-FENG LEE, KAYLA J. BAYLESS y ALVIN T. YEH. "ULTRASHORT PULSE MULTISPECTRAL NON-LINEAR OPTICAL MICROSCOPY". Journal of Innovative Optical Health Sciences 02, n.º 01 (enero de 2009): 27–35. http://dx.doi.org/10.1142/s1793545809000292.
Texto completoEs Sebar, Leila, Luca Lombardo, Marco Parvis, Emma Angelini, Alessandro Re y Sabrina Grassini. "A metrological approach for multispectral photogrammetry". ACTA IMEKO 10, n.º 4 (30 de diciembre de 2021): 111. http://dx.doi.org/10.21014/acta_imeko.v10i4.1194.
Texto completoLerma, J. L., M. Cabrelles, T. S. Akasheh y N. A. Haddad. "Documentation of Weathered Architectural Heritage with Visible, near Infrared, Thermal and Laser Scanning Data". International Journal of Heritage in the Digital Era 1, n.º 2 (junio de 2012): 251–75. http://dx.doi.org/10.1260/2047-4970.1.2.251.
Texto completoLuo, Heng, Biao He, Renzhong Guo, Weixi Wang, Xi Kuai, Bilu Xia, Yuan Wan, Ding Ma y Linfu Xie. "Urban Building Extraction and Modeling Using GF-7 DLC and MUX Images". Remote Sensing 13, n.º 17 (27 de agosto de 2021): 3414. http://dx.doi.org/10.3390/rs13173414.
Texto completoWisotzky, Eric L., Jean-Claude Rosenthal, Ulla Wege, Anna Hilsmann, Peter Eisert y Florian C. Uecker. "Surgical Guidance for Removal of Cholesteatoma Using a Multispectral 3D-Endoscope". Sensors 20, n.º 18 (17 de septiembre de 2020): 5334. http://dx.doi.org/10.3390/s20185334.
Texto completoSuo, McGovern y Gilmer. "Coastal Dune Vegetation Mapping Using a Multispectral Sensor Mounted on an UAS". Remote Sensing 11, n.º 15 (2 de agosto de 2019): 1814. http://dx.doi.org/10.3390/rs11151814.
Texto completoTesis sobre el tema "Multispectral 3D model"
Martin, Emmanuel. "Dart : modèle 3D multispectral et inversion d’images optique de satellite : application aux couverts forestiers". Toulouse 3, 2006. http://www.theses.fr/2006TOU30269.
Texto completoIn optical remote sensing, radiative transfer (R-T) models aim to simulate radiometric measurement of spatial sensors that spot “Landscape-Atmosphere” system. The modeling of vegetation canopies measurements is generally limited to landscape representation and R-T modeling. This thesis allowed transforming a 3-D R-T model DART (patent : PCT/FR 02/01181) to multispectral model simulating optical remote sensing images (thermal infrared included) of any natural and urban landscape with relief and atmosphere for any spatial/airborne sensor. This new model was validated by models intercomparison (RAMI-3 experience, Joint Research Centre, Italy) and with in situ and airborne measurements (Czech Republic). In fine, an inversion method was developed. It allowed using DART for evaluating the modeling impact on LAI estimation of coniferous forest using hyperspectral VHR images
Paviotti, Anna. "Acquisition and processing of multispectral data for texturing 3D models". Doctoral thesis, Università degli studi di Padova, 2009. http://hdl.handle.net/11577/3426851.
Texto completoCapítulos de libros sobre el tema "Multispectral 3D model"
Valero, Mario M., Amanda Makowiecki, Alan Brewer, Craig B. Clements, Neil P. Lareau, Adam K. Kochanski y Edward Strobach. "The California Fire Dynamics Experiment (CalFiDE): Developing Validation Data Sets for Coupled Fire-Atmosphere Simulations". En Advances in Forest Fire Research 2022, 388–93. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_62.
Texto completoActas de conferencias sobre el tema "Multispectral 3D model"
Shao, Xiaopeng y Jianqi Zhang. "Simulation of 3D infrared scenes using random fields model". En Multispectral Image Processing and Pattern Recognition, editado por Yair Censor y Mingyue Ding. SPIE, 2001. http://dx.doi.org/10.1117/12.441610.
Texto completoYu, Hengyong, Xuanqin Mou, Yong Wang y Yuanlong Cai. "3D reconstruction model of vessels based on object-oriented quantization". En Multispectral Image Processing and Pattern Recognition, editado por Jayaram K. Udupa y Aaron Fenster. SPIE, 2001. http://dx.doi.org/10.1117/12.440272.
Texto completoPaquit, Vincent, Jeffery R. Price, Fabrice Mériaudeau y Kenneth W. Tobin. "3D multispectral light propagation model for subcutaneous veins imaging". En Medical Imaging, editado por Jiang Hsieh y Ehsan Samei. SPIE, 2008. http://dx.doi.org/10.1117/12.772825.
Texto completoSun, Min, Dan Zhang y Zheng Hu. "3D tunnel model reconstruction from monocular image". En Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, editado por Mingyue Ding, Bir Bhanu, Friedrich M. Wahl y Jonathan Roberts. SPIE, 2009. http://dx.doi.org/10.1117/12.833131.
Texto completoJing, Hui, Meifa Huang y Yanru Zhong. "3D model retrieve based on K -means clustering". En International Symposium on Multispectral Image Processing and Pattern Recognition, editado por S. J. Maybank, Mingyue Ding, F. Wahl y Yaoting Zhu. SPIE, 2007. http://dx.doi.org/10.1117/12.750672.
Texto completoChen, Peng y Linkui Meng. "Research of 3D model construction and visualization of complicated objects in 3D cyber-city". En International Symposium on Multispectral Image Processing and Pattern Recognition, editado por S. J. Maybank, Mingyue Ding, F. Wahl y Yaoting Zhu. SPIE, 2007. http://dx.doi.org/10.1117/12.746883.
Texto completoZhang, Jun, Jian Liu y Xiaomao Liu. "Using penalty function to find the relative oriented model in 3D surface reconstruction". En International Symposium on Multispectral Image Processing, editado por Ji Zhou, Anil K. Jain, Tianxu Zhang, Yaoting Zhu, Mingyue Ding y Jianguo Liu. SPIE, 1998. http://dx.doi.org/10.1117/12.323613.
Texto completoZheng, Shunyi, Guozhong Su, Zuxun Zhang y Chengcai Zheng. "Automatic generation of 3D surface model from scatter points based on projective constraint". En MIPPR 2005 SAR and Multispectral Image Processing, editado por Liangpei Zhang, Jianqing Zhang y Mingsheng Liao. SPIE, 2005. http://dx.doi.org/10.1117/12.654936.
Texto completoZhou, Jie, Tianrui Zhou y Haipeng Pan. "Feature extraction technology of 3D geometric model based on STEP-NC". En International Symposium on Multispectral Image Processing and Pattern Recognition, editado por S. J. Maybank, Mingyue Ding, F. Wahl y Yaoting Zhu. SPIE, 2007. http://dx.doi.org/10.1117/12.749454.
Texto completoIoannakis, George, Fotis Arnaoutoglou, Anestis Koutsoudis y Christodoulos Chamzas. "Exploiting Supervised Learning for 3D Model Semantic Segmentation Using Multispectral Data". En 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2019. http://dx.doi.org/10.1109/spin.2019.8711658.
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