Artigos de revistas sobre o tema "Imagerie SWIR"
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Liu, Q., X. Li, G. Liu, C. Huang, H. Li e X. Guan. "SHARPENDING OF THE VNIR AND SWIR BANDS OF THE WIDE BAND SPECTRAL IMAGER ONBOARD TIANGONG-II IMAGERY USING THE SELECTED BANDS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (30 de abril de 2018): 1085–92. http://dx.doi.org/10.5194/isprs-archives-xlii-3-1085-2018.
Texto completo da fontePurwanto, Anang Dwi, e Wikanti Asriningrum. "IDENTIFICATION OF MANGROVE FORESTS USING MULTISPECTRAL SATELLITE IMAGERIES". International Journal of Remote Sensing and Earth Sciences (IJReSES) 16, n.º 1 (30 de outubro de 2019): 63. http://dx.doi.org/10.30536/j.ijreses.2019.v16.a3097.
Texto completo da fonteXu, Dandan, Dong Zhang, Dan Shi e Zhaoqing Luan. "Automatic Extraction of Open Water Using Imagery of Landsat Series". Water 12, n.º 7 (6 de julho de 2020): 1928. http://dx.doi.org/10.3390/w12071928.
Texto completo da fonteRostami, Amirhossein, Reza Shah-Hosseini, Shabnam Asgari, Arastou Zarei, Mohammad Aghdami-Nia e Saeid Homayouni. "Active Fire Detection from Landsat-8 Imagery Using Deep Multiple Kernel Learning". Remote Sensing 14, n.º 4 (17 de fevereiro de 2022): 992. http://dx.doi.org/10.3390/rs14040992.
Texto completo da fonteYe, Bei, Shufang Tian, Qiuming Cheng e Yunzhao Ge. "Application of Lithological Mapping Based on Advanced Hyperspectral Imager (AHSI) Imagery Onboard Gaofen-5 (GF-5) Satellite". Remote Sensing 12, n.º 23 (6 de dezembro de 2020): 3990. http://dx.doi.org/10.3390/rs12233990.
Texto completo da fonteCasana, Jesse, e Carolin Ferwerda. "Drone-Acquired Short-Wave Infrared (SWIR) Imagery in Landscape Archaeology: An Experimental Approach". Remote Sensing 16, n.º 10 (9 de maio de 2024): 1671. http://dx.doi.org/10.3390/rs16101671.
Texto completo da fonteFeng, Haixia, Chao Chen, Heng Dong, Jinliang Wang e Qingye Meng. "Modified Shortwave Infrared Perpendicular Water Stress Index: A Farmland Water Stress Monitoring Method". Journal of Applied Meteorology and Climatology 52, n.º 9 (setembro de 2013): 2024–32. http://dx.doi.org/10.1175/jamc-d-12-0164.1.
Texto completo da fonteWANG, Yue-Ming, Qian ZHU, Jian-Yu WANG e Xiao-Qiong ZHUANG. "Characterization of background radiation in SWIR hyperspectral imager". JOURNAL OF INFRARED AND MILLIMETER WAVES 30, n.º 3 (20 de março de 2012): 279–83. http://dx.doi.org/10.3724/sp.j.1010.2011.00279.
Texto completo da fonteReddy, S. L. K., C. V. Rao, P. R. Kumar, R. V. G. Anjaneyulu e B. G. Krishna. "A NOVEL METHOD FOR WATER AND WATER CANAL EXTRACTION FROM LANDSAT-8 OLI IMAGERY". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5 (19 de novembro de 2018): 323–28. http://dx.doi.org/10.5194/isprs-archives-xlii-5-323-2018.
Texto completo da fontePlatnick, Steven, Kerry Meyer, Nandana Amarasinghe, Galina Wind, Paul A. Hubanks e Robert E. Holz. "Sensitivity of Multispectral Imager Liquid Water Cloud Microphysical Retrievals to the Index of Refraction". Remote Sensing 12, n.º 24 (19 de dezembro de 2020): 4165. http://dx.doi.org/10.3390/rs12244165.
Texto completo da fonteCha, Sungeun, Joongbin Lim, Kyoungmin Kim, Jongsoo Yim e Woo-Kyun Lee. "Uncovering the Potential of Multi-Temporally Integrated Satellite Imagery for Accurate Tree Species Classification". Forests 14, n.º 4 (5 de abril de 2023): 746. http://dx.doi.org/10.3390/f14040746.
Texto completo da fonteHe Hongxing, 何红星, 赵劲松 Zhao Jingsong e 潘顺臣 Pan Shunchen. "Common-Aperture Optical System for MWIR/SWIR Polarization Imager". Acta Optica Sinica 29, n.º 4 (2009): 932–36. http://dx.doi.org/10.3788/aos20092904.0932.
Texto completo da fonteAliyan, S. A., A. S. Bratanegara, H. M. Ihsan, A. J. Astari e L. Somantri. "identification of lithological characteristics using multispectral landsat 8 oli imagery in the cipatujah area, west java, indonesia". IOP Conference Series: Earth and Environmental Science 1089, n.º 1 (1 de novembro de 2022): 012021. http://dx.doi.org/10.1088/1755-1315/1089/1/012021.
Texto completo da fonteCao, Zhicheng, Natalia A. Schmid, Shufen Cao e Liaojun Pang. "GMLM-CNN: A Hybrid Solution to SWIR-VIS Face Verification with Limited Imagery". Sensors 22, n.º 23 (5 de dezembro de 2022): 9500. http://dx.doi.org/10.3390/s22239500.
Texto completo da fonteLi, Jun, Zhaocong Wu, Zhongwen Hu, Zilong Li, Yisong Wang e Matthieu Molinier. "Deep Learning Based Thin Cloud Removal Fusing Vegetation Red Edge and Short Wave Infrared Spectral Information for Sentinel-2A Imagery". Remote Sensing 13, n.º 1 (5 de janeiro de 2021): 157. http://dx.doi.org/10.3390/rs13010157.
Texto completo da fontePatel, P., H. Bhatt e A. K. Shukla. "Absolute Vicarious Calibration of recently launched Indian Meteorological Satellite: INSAT-3D imager". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (28 de novembro de 2014): 291–98. http://dx.doi.org/10.5194/isprsarchives-xl-8-291-2014.
Texto completo da fonteRotovnik, Tomaz, Dejan Gacnik e Iztok Kramberger. "Miniaturized Multispectral VNIR/SWIR Imager for Small Satellites - System Design". IFAC-PapersOnLine 48, n.º 10 (2015): 12–15. http://dx.doi.org/10.1016/j.ifacol.2015.08.100.
Texto completo da fonteTuominen, S., R. Näsi, E. Honkavaara, A. Balazs, T. Hakala, N. Viljanen, I. Pölönen, H. Saari e J. Reinikainen. "TREE SPECIES RECOGNITION IN SPECIES RICH AREA USING UAV-BORNE HYPERSPECTRAL IMAGERY AND STEREO-PHOTOGRAMMETRIC POINT CLOUD". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W3 (20 de outubro de 2017): 185–94. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w3-185-2017.
Texto completo da fonteZhang, Tianyuan, Huazhong Ren, Qiming Qin e Yuanheng Sun. "Snow Cover Monitoring with Chinese Gaofen-4 PMS Imagery and the Restored Snow Index (RSI) Method: Case Studies". Remote Sensing 10, n.º 12 (23 de novembro de 2018): 1871. http://dx.doi.org/10.3390/rs10121871.
Texto completo da fonteLi, Huifang, Liangpei Zhang, Huanfeng Shen e Pingxiang Li. "A Variational Gradient-based Fusion Method for Visible and SWIR Imagery". Photogrammetric Engineering & Remote Sensing 78, n.º 9 (1 de setembro de 2012): 947–58. http://dx.doi.org/10.14358/pers.78.9.947.
Texto completo da fonteXu, Yue, Shao-Biao Xie, Jian Liang, De-Xin Sun, Nai-Ming Qi e Yin-Nian Liu. "A Novel Method to Remove Interference Fringes for Hyperspectral SWIR Imagers". IEEE Transactions on Geoscience and Remote Sensing 58, n.º 11 (novembro de 2020): 7580–88. http://dx.doi.org/10.1109/tgrs.2020.2981640.
Texto completo da fonteOliveira, R. A., R. Näsi, P. Korhonen, A. Mustonen, O. Niemeläinen, N. Koivumäki, T. Hakala, J. Suomalainen, J. Kaivosoja e E. Honkavaara. "HYPERSPECTRAL UAS IMAGERY FOR GRASS SWARDS BIOMASS AND NITROGEN ESTIMATION". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (14 de dezembro de 2023): 1861–66. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-1861-2023.
Texto completo da fonteGossn, Juan, Kevin Ruddick e Ana Dogliotti. "Atmospheric Correction of OLCI Imagery over Extremely Turbid Waters Based on the Red, NIR and 1016 nm Bands and a New Baseline Residual Technique". Remote Sensing 11, n.º 3 (22 de janeiro de 2019): 220. http://dx.doi.org/10.3390/rs11030220.
Texto completo da fonteZhang, Meng, Xuhong Wang, Chenlie Shi e Dajiang Yan. "Automated Glacier Extraction Index by Optimization of Red/SWIR and NIR /SWIR Ratio Index for Glacier Mapping Using Landsat Imagery". Water 11, n.º 6 (12 de junho de 2019): 1223. http://dx.doi.org/10.3390/w11061223.
Texto completo da fontePark, Honglyun, e Jaewan Choi. "Mineral Detection Using Sharpened VNIR and SWIR Bands of Worldview-3 Satellite Imagery". Sustainability 13, n.º 10 (14 de maio de 2021): 5518. http://dx.doi.org/10.3390/su13105518.
Texto completo da fonteFernández, Roemi, Héctor Montes e Carlota Salinas. "VIS-NIR, SWIR and LWIR Imagery for Estimation of Ground Bearing Capacity". Sensors 15, n.º 6 (15 de junho de 2015): 13994–4015. http://dx.doi.org/10.3390/s150613994.
Texto completo da fonteMeola, Joseph, Michael T. Eismann, Randolph L. Moses e Joshua N. Ash. "Application of Model-Based Change Detection to Airborne VNIR/SWIR Hyperspectral Imagery". IEEE Transactions on Geoscience and Remote Sensing 50, n.º 10 (outubro de 2012): 3693–706. http://dx.doi.org/10.1109/tgrs.2012.2186305.
Texto completo da fonteSanders, Lee C., John R. Schott e Rolando Raqueño. "A VNIR/SWIR atmospheric correction algorithm for hyperspectral imagery with adjacency effect". Remote Sensing of Environment 78, n.º 3 (dezembro de 2001): 252–63. http://dx.doi.org/10.1016/s0034-4257(01)00219-x.
Texto completo da fonteAbioye, A. E., E. Laroche-Pinel, B. Sams, B. Corales, K. Vasquez, V. Cianciola e L. Brillante. "Grape composition assessment using NIR/SWIR hyperspectral imagery acquired from a UTV". Acta Horticulturae, n.º 1395 (maio de 2024): 351–58. http://dx.doi.org/10.17660/actahortic.2024.1395.46.
Texto completo da fonteFrancis Emeka Egobueze, Eteh Desmond Rowland e Debekeme Silver Ebizimo. "Multispectral imagery for detection and monitoring of vegetation affected by oil spills and migration pattern in Niger Delta Region, Nigeria". World Journal of Advanced Research and Reviews 15, n.º 1 (30 de julho de 2022): 447–58. http://dx.doi.org/10.30574/wjarr.2022.15.1.0682.
Texto completo da fonteWang, Lei, Yang Chen, Luliang Tang, Rongshuang Fan e Yunlong Yao. "Object-Based Convolutional Neural Networks for Cloud and Snow Detection in High-Resolution Multispectral Imagers". Water 10, n.º 11 (15 de novembro de 2018): 1666. http://dx.doi.org/10.3390/w10111666.
Texto completo da fonteTrishchenko, Alexander P. "Solar Irradiance and Effective Brightness Temperature for SWIR Channels of AVHRR/NOAA and GOES Imagers". Journal of Atmospheric and Oceanic Technology 23, n.º 2 (1 de fevereiro de 2006): 198–210. http://dx.doi.org/10.1175/jtech1850.1.
Texto completo da fonteKim, Mijin, Robert C. Levy, Lorraine A. Remer, Shana Mattoo e Pawan Gupta. "Parameterizing spectral surface reflectance relationships for the Dark Target aerosol algorithm applied to a geostationary imager". Atmospheric Measurement Techniques 17, n.º 7 (4 de abril de 2024): 1913–39. http://dx.doi.org/10.5194/amt-17-1913-2024.
Texto completo da fonteAstiti, Sagung Putri Chandra, Takahiro Osawa e I. Wayan Nuarsa. "IDENTIFICATION OF SHORELINE CHANGES USING SENTINEL 2 IMAGERY DATA IN CANGGU COASTAL AREA". ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) 13, n.º 2 (30 de novembro de 2019): 191. http://dx.doi.org/10.24843/ejes.2019.v13.i02.p07.
Texto completo da fonteGerhards, Max, Martin Schlerf, Uwe Rascher, Thomas Udelhoven, Radoslaw Juszczak, Giorgio Alberti, Franco Miglietta e Yoshio Inoue. "Analysis of Airborne Optical and Thermal Imagery for Detection of Water Stress Symptoms". Remote Sensing 10, n.º 7 (19 de julho de 2018): 1139. http://dx.doi.org/10.3390/rs10071139.
Texto completo da fonteHannawald, Patrick, Carsten Schmidt, Sabine Wüst e Michael Bittner. "A fast SWIR imager for observations of transient features in OH airglow". Atmospheric Measurement Techniques 9, n.º 4 (4 de abril de 2016): 1461–72. http://dx.doi.org/10.5194/amt-9-1461-2016.
Texto completo da fonteGadal, S., e W. Ouerghemmi. "MORPHO-SPECTRAL RECOGNITION OF DENSE URBAN OBJECTS BY HYPERSPECTRAL IMAGERY". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (19 de agosto de 2015): 433–38. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-433-2015.
Texto completo da fonteXu, Mingyue, Wenhui Zhou, Xingfa Shen, Yuhan Wang, Liangyan Mo e Junping Qiu. "Swin-TCNet: Swin-based temporal-channel cascade network for motor imagery iEEG signal recognition". Biomedical Signal Processing and Control 85 (agosto de 2023): 104885. http://dx.doi.org/10.1016/j.bspc.2023.104885.
Texto completo da fonteWANG, Feng, Yi ZHOU, Fu-Li YAN, Shuo YANG e Cong DU. "ATMOSPHERIC CORRECTION ALGORITHM FOR MODIS IMAGERY OVER CASE Ⅱ WATERS BASED ON SWIR". JOURNAL OF INFRARED AND MILLIMETER WAVES 28, n.º 5 (25 de novembro de 2009): 346–49. http://dx.doi.org/10.3724/sp.j.1010.2009.00346.
Texto completo da fonteHively, W. Dean, Jacob Shermeyer, Brian T. Lamb, Craig T. Daughtry, Miguel Quemada e Jason Keppler. "Mapping Crop Residue by Combining Landsat and WorldView-3 Satellite Imagery". Remote Sensing 11, n.º 16 (9 de agosto de 2019): 1857. http://dx.doi.org/10.3390/rs11161857.
Texto completo da fonteXu, Yufen, Shangbo Zhou e Yuhui Huang. "Transformer-Based Model with Dynamic Attention Pyramid Head for Semantic Segmentation of VHR Remote Sensing Imagery". Entropy 24, n.º 11 (6 de novembro de 2022): 1619. http://dx.doi.org/10.3390/e24111619.
Texto completo da fonteTeshima, Yu, e Akira Iwasaki. "Correction of Attitude Fluctuation of Terra Spacecraft Using ASTER/SWIR Imagery With Parallax Observation". IEEE Transactions on Geoscience and Remote Sensing 46, n.º 1 (janeiro de 2008): 222–27. http://dx.doi.org/10.1109/tgrs.2007.907424.
Texto completo da fonteHu, Yue, Zhuna Wang, Yahao Zhang e Yuanyong Dian. "Logging Pattern Detection by Multispectral Remote Sensing Imagery in North Subtropical Plantation Forests". Remote Sensing 14, n.º 19 (7 de outubro de 2022): 4987. http://dx.doi.org/10.3390/rs14194987.
Texto completo da fonteRyu, Han-Sol, e Sungwook Hong. "Sea Fog Detection Based on Normalized Difference Snow Index Using Advanced Himawari Imager Observations". Remote Sensing 12, n.º 9 (10 de maio de 2020): 1521. http://dx.doi.org/10.3390/rs12091521.
Texto completo da fonteLin, Yukun, Zhe Zhu, Wenxuan Guo, Yazhou Sun, Xiaoyuan Yang e Valeriy Kovalskyy. "Continuous Monitoring of Cotton Stem Water Potential using Sentinel-2 Imagery". Remote Sensing 12, n.º 7 (6 de abril de 2020): 1176. http://dx.doi.org/10.3390/rs12071176.
Texto completo da fonteBáčová, M., e J. Krása. "Application of historical and recent aerial imagery in monitoring water erosion occurrences in Czech highlands". Soil and Water Research 11, No. 4 (12 de outubro de 2016): 267–76. http://dx.doi.org/10.17221/178/2015-swr.
Texto completo da fonteNeri, M. P., A. B. Baloloy e A. C. Blanco. "LIMITATION ASSESSMENT AND WORKFLOW REFINEMENT OF THE MANGROVE VEGETATION INDEX (MVI)-BASED MAPPING METHODOLOGY USING SENTINEL-2 IMAGERY". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W6-2021 (18 de novembro de 2021): 235–42. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w6-2021-235-2021.
Texto completo da fonteBouguerra, Sana, Sihem Jebari e Jamila Tarhouni. "Spatiotemporal analysis of landscape patterns and its effect on soil loss in the Rmel river basin, Tunisia". Soil and Water Research 16, No. 1 (11 de dezembro de 2020): 39–49. http://dx.doi.org/10.17221/84/2019-swr.
Texto completo da fonteHao, Mengmeng, Xiaohan Dong, Dong Jiang, Xianwen Yu, Fangyu Ding e Jun Zhuo. "Land-use classification based on high-resolution remote sensing imagery and deep learning models". PLOS ONE 19, n.º 4 (18 de abril de 2024): e0300473. http://dx.doi.org/10.1371/journal.pone.0300473.
Texto completo da fonteLee, Hwa-Seon, e Kyu-Sung Lee. "A MULTI-TEMPORAL APPROACH FOR DETECTING SNOW COVER AREA USING GEOSTATIONARY IMAGERY DATA". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (23 de junho de 2016): 511–12. http://dx.doi.org/10.5194/isprs-archives-xli-b8-511-2016.
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