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NTIS 바로가기대한원격탐사학회지 = Korean journal of remote sensing, v.38 no.6 pt.2, 2022년, pp.1677 - 1689
윤영웅 (서울시립대학교 공간정보공학과) , 정형섭 (서울시립대학교 공간정보공학과) , 이원진 (국립환경과학원 환경위성센터)
Air pollution is social issue that has long-term and short-term harmful effect on the health of animals, plants, and environments. Chimneys are the primary source of air pollutants that pollute the atmosphere, so their location and type must be detected and monitored. Power plants and industrial com...
Baek, W.K. and H.S. Jung, 2021. Performance comparison of oil spill and ship classification from x-band dual-and single-polarized sar image using support vector machine, random forest, and deep neural network, Remote Sensing, 13(16): 3203. https://doi.org/10.3390/rs13163203
Brunekreef, B. and S. T. Holgate, 2002. Air pollution and health, The Lancet, 360(9341): 1233-1242. https://doi.org/10.1016/S0140-6736(02)11274-8
Chang, A., Y. Eo, S. Kim, Y. Kim, and Y. Kim, 2011. Canopy-cover thematic-map generation for Military Map products using remote sensing data in inaccessible areas, Landscape and Ecological Engineering, 7(2): 263-274. https://doi.org/10.1007/s11355-010-0132-1
Christenson, E. and M. Serre, 2015. Using remote sensing to calculate plant available nitrogen needed by crops on swine factory farm sprayfields in North Carolina, Proc. of SPIE Remote Sensing for Agriculture, Ecosystems, and Hydrology XVII, Toulouse, France, Sep. 21-24, vol. 9637, pp. 22-28. https://doi.org/10.1117/12.2195434
Dadboud, F., V. Patel, V. Mehta, M. Bolic, and I. Mantegh, 2021. Single-Stage UAV Detection and Classification with YOLOV5: Mosaic Data Augmentation and PANet, Proc. of 2021 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Nov. 16-19, pp. 1-8. https://doi.org/10.1109/AVSS52988.2021.9663841
Diakogiannis, F.I., F. Waldner, P. Caccetta, and C. Wu, 2020. ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data, ISPRS Journal of Photogrammetry and Remote Sensing, 162: 94-114. https://doi.org/10.1016/j.isprsjprs.2020.01.013
Han, C., G. Li, Y. Ding, F. Yan, and L. Bai, 2020. Chimney detection based on faster R-CNN and spatial analysis methods in high resolution remote sensing images, Sensors, 20(16): 4353. https://doi.org/10.3390/s20164353
He, S. and L. Schomaker, 2019. DeepOtsu: Document enhancement and binarization using iterative deep learning, Pattern Recognition, 91: 379-390. https://doi.org/10.1016/j.patcog.2019.01.025
Huang, W., H. Wang, and Y. Wei, 2018. Endogenous or exogenous? examining trans-boundary air pollution by using the air quality index (aqi): A case study of 30 provinces and autonomous regions in china, Sustainability, 10(11): 4220. https://doi.org/10.3390/su10114220
Jacobson, M. Z., 2009. Review of solutions to global warming, air pollution, and energy security, Energy & Environmental Science, 2(2): 148-173. https://doi.org/10.1039/B809990C
Jang. S.W., J.M. Baek, and M.S. Kang, 2021. A Combined Approach of Classification and Regression for Oriented Object Detection of Missiles, The Journal of Korean Institute of Electromagnetic Engineering and Science, 32(12): 1099-1107 (in Korean with English abstract). https://doi.org/10.5515/KJKIEES.2021.32.12.1099
Jiang, P., Y. Chen, Y. Geng, W. Dong, B. Xue, B. Xu, and W. Li, 2013. Analysis of the co-benefits of climate change mitigation and air pollution reduction in China, Journal of Cleaner Production, 58: 130-137. https://doi.org/10.1016/j.jclepro.2013.07.042
Jung, H.S. and S. Lee, 2019. Special issue on machine learning techniques applied to geoscience information system and remote sensing, Applied Sciences, 9(12): 2446. https://doi.org/10.3390/app9122446
Kampa, M. and E. Castanas, 2008. Human health effects of air pollution, Environmental Pollution, 151(2): 362-367. https://doi.org/10.1016/j.envpol.2007.06.012
Kim, H. J., Q. Zhang, and Y. Sun, 2020. Measurement report: Characterization of severe spring haze episodes and influences of long-range transport in the Seoul metropolitan area in March 2019, Atmospheric Chemistry and Physics, 20(19): 11527-11550. https://doi.org/10.5194/acp-20-11527-2020
Lei, Y., Q. Zhang, C. Nielsen, and K. He, 2011. An inventory of primary air pollutants and CO 2 emissions from cement production in China, 1990-2020, Atmospheric Environment, 45(1): 147-154. https://doi.org/10.1016/j.atmosenv.2010.09.034
Li, Y., Y.H. Chiu, and L.C. Lu, 2018. Energy and AQI performance of 31 cities in China, Energy Policy, 122: 194-202. https://doi.org/10.1016/j.enpol.2018.07.037
Lu, H., A. Yue, H. Chen, and R. Long, 2018. Could smog pollution lead to the migration of local skilled workers? Evidence from the Jing-Jin-Ji region in China, Resources, Conservation and Recycling, 130: 177-187. https://doi.org/10.1016/j.resconrec.2017.11.024
Martin, M.J., D.E. Singh, J.C. Mourino, F.F. Rivera, R. Doallo, and J.D. Bruguera, 2003. High performance air pollution modeling for a power plant environment, Parallel Computing, 29(11-12): 1763-1790. https://doi.org/10.1016/j.parco.2003.05.018
Mele, M. and C. Magazzino, 2020. A machine learning analysis of the relationship among iron and steel industries, air pollution, and economic growth in China, Journal of Cleaner Production, 277: 123293. https://doi.org/10.1016/j.jclepro.2020.123293
Pal, S., E. Ebrahimi, A. Zulfiqar, Y. Fu, V. Zhang, S. Migacz, D. Nellans, and P. Gupta, 2019. Optimizing multi-GPU parallelization strategies for deep learning training, IEEE Micro, 39(5): 91-101. https://doi.org/10.1109/mm.2019.2935967
Rajarathnam, U., V. Athalye, S. Ragavan, S. Maithel, D. Lalchandani, S. Kumar, E. Baum, C. Weyant, and T. Bond, 2014. Assessment of air pollutant emissions from brick kilns, Atmospheric Environment, 98: 549-553. https://doi.org/10.1016/j.atmosenv.2014.08.075
Shankar, K., Y. Zhang, Y. Liu, L. Wu, and C. H. Chen, 2020. Hyperparameter tuning deep learning for diabetic retinopathy fundus image classification, IEEE Access, 8: 118164-118173. https://doi.org/10.1109/ACCESS.2020.3005152
Sportisse, B., 2007. A review of current issues in air pollution modeling and simulation, Computational Geosciences, 11(2): 159-181. https://doi.org/10.1007/s10596-006-9036-4
Tang, L., X. Xue, J. Qu, Z. Mi, X. Bo, X. Chang, S. Wang, S. Li, W. Cui, and G. Dong, 2020. Air pollution emissions from Chinese power plants based on the continuous emission monitoring systems network, Scientific Data, 7(1): 1-10. https://doi.org/10.1038/s41597-020-00665-1
Wan, D.J., Z.X. Han, J.S. Yang, G.L. Yang, and X.Q. Liu, 2016. Heavy metal pollution in settled dust associated with different urban functional areas in a heavily air-polluted city in North China, International Journal of Environmental Research and Public Health, 13(11): 1119. https://doi.org/10.3390/ijerph13111119
Wei, W., X. Wang, H. Zhu, J. Li, S. Zhou, Z. Zou, and J.S. Li, 2017. Carbon emissions of urban power grid in Jing-Jin-Ji region: Characteristics and influential factors, Journal of Cleaner Production, 168: 428-440. https://doi.org/10.1016/j.jclepro.2017.09.015
Wu, W., H. Liu, L. Li, Y. Long, X. Wang, Z. Wang, J. Li, and Y. Chang, 2021. Application of local fully Convolutional Neural Network combined with YOLO v5 algorithm in small target detection of remote sensing image, PLoS One, 16(10): e0259283. https://doi.org/10.1371/journal.pone.0259283
Yao, Y., Z. Jiang, H. Zhang, B. Cai, G. Meng, and D. Zuo, 2017. Chimney and condensing tower detection based on faster R-CNN in high resolution remote sensing images, Proc. of 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, USA, Jul. 23-28, pp. 3329-3332. https://doi.org/10.1109/igarss.2017.8127710
Zeng, Y., Y. Cao, X. Qiao, B.C. Seyler, and Y. Tang, 2019. Air pollution reduction in China: Recent success but great challenge for the future, Science of the Total Environment, 663: 329-337. https://doi.org/10.1016/j.scitotenv.2019.01.262
Zhang, H. and Q. Deng, 2019. Deep learning based fossil-fuel power plant monitoring in high resolution remote sensing images: A comparative study, Remote Sensing, 11(9): 1117. https://doi.org/10.1016/j.scitotenv.2019.01.262
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