المؤلفون: Sadra Karimzadeh, Abdullah Can Zulfikar, Masashi Matsuoka

المصدر: Big Earth Data, Vol 8, Iss 3, Pp 467-493 (2024)

مصطلحات موضوعية: InSAR time series, PALSAR-2, SAR intensity, infrastructure deformation, Geography. Anthropology. Recreation, Geology, QE1-996.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2096-4471; https://doaj.org/toc/2574-5417

URL الوصول: https://doaj.org/article/e086b86e25514b94a52b8013ffec468f

المؤلفون: Millin-Chalabi, Gail Rebecca

المساهمون: Mcmorrow, Julia

مصطلحات موضوعية: 553.2, Peak District National Park, Peat, Satellites, Monitoring, Landscape, Mapping, Wildfires, Burn Scars, InSAR Coherence, SAR Intensity, Radar, Moorland

URL الوصول: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.686794

المؤلفون: Huifang Shen, Shudong Zhou, Li Fang, Jian Yang

المصدر: Remote Sensing; Volume 14; Issue 20; Pages: 5128

مصطلحات موضوعية: glacier surface motion, SAR intensity images, deep learning, dense connection

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/rs14205128

الاتاحة: https://doi.org/10.3390/rs14205128

المؤلفون: Wen Liu, Yoshihisa Maruyama, Fumio Yamazaki

المصدر: Remote Sensing; Volume 13; Issue 17; Pages: 3508

مصطلحات موضوعية: bridges, multi-temporal SAR intensity images, logistic regression, random forest, the 2011 Tohoku-oki earthquake, the 2020 July floods in Japan

وصف الملف: application/pdf

Relation: Environmental Remote Sensing; https://dx.doi.org/10.3390/rs13173508

الاتاحة: https://doi.org/10.3390/rs13173508

المؤلفون: Li Fang, Zhen Ye, Shu Su, Jian Kang, Xiaohua Tong

المصدر: Sensors; Volume 20; Issue 16; Pages: 4396

مصطلحات موضوعية: glacier surface motion, SAR intensity image, image matching, gradient correlation

وصف الملف: application/pdf

Relation: Remote Sensors; https://dx.doi.org/10.3390/s20164396

الاتاحة: https://doi.org/10.3390/s20164396

المؤلفون: Bruno Adriano, Naoto Yokoya, Hiroyuki Miura, Masashi Matsuoka, Shunichi Koshimura

المصدر: Remote Sensing; Volume 12; Issue 3; Pages: 561

مصطلحات موضوعية: landslide damage detection, the 2018 torrential rain event in hiroshima, Japan, the 2018 Mw6.7 hokkaido earthquake, synthetic aperture radar (SAR) intensity imagery

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Environmental Remote Sensing; https://dx.doi.org/10.3390/rs12030561

الاتاحة: https://doi.org/10.3390/rs12030561

المؤلفون: Lin, Nina Yunung, Yun, Sang-Ho, Bhardwaj, Alok, Hill, Emma M.

المساهمون: Asian School of the Environment, Earth Observatory of Singapore

مصطلحات موضوعية: SAR Intensity Time Series, Urban Flood Mapping, Science::Geology

وصف الملف: 22 p.; application/pdf

Relation: Remote Sensing; Lin, N. Y., Yun, S.-H., Bhardwaj, A., & Hill, E. M. (2019). Urban flood detection with Sentinel-1 Multi-Temporal Synthetic Aperture Radar (SAR) observations in a Bayesian Framework : a case study for Hurricane Matthew. Remote Sensing, 11(15), 1778- doi:10.3390/rs11151778; https://hdl.handle.net/10356/85554; http://hdl.handle.net/10220/50441

الاتاحة: https://hdl.handle.net/10356/85554
http://hdl.handle.net/10220/50441
https://doi.org/10.3390/rs11151778

المؤلفون: Yusupujiang Aimaiti, Wen Liu, Fumio Yamazaki, Yoshihisa Maruyama

المصدر: Remote Sensing; Volume 11; Issue 20; Pages: 2351

مصطلحات موضوعية: the Hokkaido Eastern Iburi earthquake, landslides, SAR intensity, coherence, optical satellite images, quantitative comparison of SAR images

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Remote Sensing in Geology, Geomorphology and Hydrology; https://dx.doi.org/10.3390/rs11202351

الاتاحة: https://doi.org/10.3390/rs11202351

المؤلفون: Alessandro Mondini

المصدر: Remote Sensing; Volume 9; Issue 6; Pages: 554

مصطلحات موضوعية: spatial autocorrelation, event landslides, SAR intensity

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Remote Sensing in Geology, Geomorphology and Hydrology; https://dx.doi.org/10.3390/rs9060554

الاتاحة: https://doi.org/10.3390/rs9060554

المؤلفون: Christopher Stewart

المصدر: Remote Sensing, Vol 9, Iss 2, p 118 (2017)

مصطلحات موضوعية: Synthetic Aperture Radar, SAR, archaeology, COSMO-SkyMed, prospection, SAR coherence, SAR intensity, InSAR, SBAS DEM, Rome, Science

Relation: http://www.mdpi.com/2072-4292/9/2/118; https://doaj.org/toc/2072-4292; https://doaj.org/article/c6f7266b8b3f4275bed794d0185a3ea3

الاتاحة: https://doi.org/10.3390/rs9020118
https://doaj.org/article/c6f7266b8b3f4275bed794d0185a3ea3

المؤلفون: Naoto Yokoya, Masashi Matsuoka, Bruno Adriano, Hiroyuki Miura, Shunichi Koshimura

المصدر: Remote Sensing, Vol 12, Iss 3, p 561 (2020)
Remote Sensing; Volume 12; Issue 3; Pages: 561

مصطلحات موضوعية: Synthetic aperture radar, 010504 meteorology & atmospheric sciences, Pixel, synthetic aperture radar (sar) intensity imagery, Science, Reference data (financial markets), 0211 other engineering and technologies, the 2018 torrential rain event in hiroshima, Landslide, 02 engineering and technology, Land cover, landslide damage detection, Japan, the 2018 Mw6.7 hokkaido earthquake, synthetic aperture radar (SAR) intensity imagery, japan, 01 natural sciences, Debris, Robustness (computer science), General Earth and Planetary Sciences, Digital elevation model, Geology, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Remote sensing, the 2018 mw6.7 hokkaido earthquake

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49253ac8aecb5d8b5f8a7d1078f2e03c
https://www.mdpi.com/2072-4292/12/3/561

المؤلفون: Ercan E. Kuruoglu, Alin Achim, Oktay Karakus

المصدر: Karakuş, O, Kuruoglu, E E & Achim, A 2020, ' A Generalized Gaussian Extension to the Rician Distribution for SAR Image Modeling ', arXiv . < https://arxiv.org/abs/2006.08300 >
IEEE transactions on geoscience and remote sensing (2021). doi:10.1109/TGRS.2021.3069091
info:cnr-pdr/source/autori:Karakus O.; Kuruoglu E.E.; Achim A./titolo:A generalized Gaussian extension to the Rician distribution for SAR image modeling/doi:10.1109%2FTGRS.2021.3069091/rivista:IEEE transactions on geoscience and remote sensing/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume

مصطلحات موضوعية: Signal Processing (eess.SP), FOS: Computer and information sciences, Synthetic aperture radar, Computer science, Non-Gaussian scattering, Gaussian, 0211 other engineering and technologies, 02 engineering and technology, Statistics - Applications, symbols.namesake, Rician fading, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Applications (stat.AP), Electrical and Electronic Engineering, Electrical Engineering and Systems Science - Signal Processing, Generalized-Gaussian-Rician (GG-Rician) distribution, stat.AP, 021101 geological & geomatics engineering, Weibull distribution, Image and Video Processing (eess.IV), SAR intensity modeling, eess.SP, Statistical model, Electrical Engineering and Systems Science - Image and Video Processing, Quadrature (mathematics), Amplitude, Computer Science::Graphics, Log-normal distribution, symbols, General Earth and Planetary Sciences, eess.IV, 020201 artificial intelligence & image processing, Algorithm

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f5ca38d86ab7308ea48da85b7045e36
https://hdl.handle.net/1983/c4533ffb-4ba7-4a62-aa4f-13c87ce0df53

المؤلفون: Nina Yunung Lin, Alok Bhardwaj, Sang-Ho Yun, Emma M. Hill

المساهمون: Asian School of the Environment, Earth Observatory of Singapore

المصدر: Remote Sensing, Vol 11, Iss 15, p 1778 (2019)
Remote Sensing; Volume 11; Issue 15; Pages: 1778

مصطلحات موضوعية: Normalization (statistics), Synthetic aperture radar, urban flood mapping, 010504 meteorology & atmospheric sciences, Science, Bayesian probability, 0211 other engineering and technologies, 02 engineering and technology, Hurricane Matthew, Geology [Science], 01 natural sciences, SAR Intensity Time Series, Urban Flood Mapping, double bounce effect, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Remote sensing, Pixel, Flood myth, SAR intensity time series, fungi, Thresholding, body regions, General Earth and Planetary Sciences, Environmental science, Spatial variability, Intensity (heat transfer)

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdec55916a15fceea6c0f02d77cd68ae
https://hdl.handle.net/10356/85554

المؤلفون: Li, Yu, Martinis, Sandro, Wieland, Marc, Schlaffer, Stefan, Natsuaki, Ryo

المصدر: Remote Sensing, Vol 11, Iss 19, p 2231 (2019)

مصطلحات موضوعية: urban flood mapping is challenging due to the complicated backscattering mechanisms in urban environments and in addition to SAR intensity other information is required. This paper introduces an unsupervised method for flood detection in urban areas by synergistically using SAR intensity and interferometric coherence under the Bayesian network fusion framework. It leverages multi-temporal intensity and coherence conjunctively to extract flood information of varying flooded landscapes. The proposed method is tested on the Houston (US) 2017 flood event with Sentinel-1 data and Joso (Japan) 2015 flood event with ALOS-2/PALSAR-2 data. The flood maps produced by the fusion of intensity and coherence and intensity alone are validated by comparison against high-resolution aerial photographs. The results show an overall accuracy of 94.5% (93.7%) and a kappa coefficient of 0.68 (0.60) for the Houston case, urban flood mapping, the current operational services are mainly focused on flood in rural areas and flooded urban areas are less considered. In practice, Science, bayesian network, insar coherence, Synthetic Aperture Radar (SAR) observations are widely used in emergency response for flood mapping and monitoring. However, synthetic aperture radar (sar), and an overall accuracy of 89.6% (86.0%) and a kappa coefficient of 0.72 (0.61) for the Joso case with the fusion of intensity and coherence (only intensity). The experiments demonstrate that coherence provides valuable information in addition to intensity in urban flood mapping and the proposed method could be a useful tool for urban flood mapping tasks

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0a18b51e92d86ef21185456ae95af006
https://doi.org/10.3390/rs11192231

المؤلفون: Fumio YAMAZAKI, Masashi MATSUOKA, Tadashi SASAGAWA, Takashi NONAKA, Wen LIU

المصدر: Journal of The Remote Sensing Society of Japan. 2014, 34(3):166

المؤلفون: Fumio YAMAZAKI, Pralhad UPRETY

المصدر: Journal of Japan Association for Earthquake Engineering. 2012, 12(6):6-21

المؤلفون: Fumio YAMAZAKI, Masashi MATSUOKA, 山崎 文雄, 松岡 昌志

المصدر: 日本建築学会構造系論文集 / Journal of Structural and Construction Engineering (Transactions of AIJ). 2002, 67(551):53

المؤلفون: Fumio YAMAZAKI, Masashi MATSUOKA, 山崎 文雄, 松岡 昌志

المصدر: 日本建築学会構造系論文集 / Journal of Structural and Construction Engineering (Transactions of AIJ). 2002, 67(558):139

المؤلفون: Haruki TATEISHI, Masashi MATSUOKA, Masata SUGITO, Nobuharu KANAZAWA, Nobuoto NOJIMA, 杉戸 真太, 松岡 昌志, 立石 陽輝, 能島 暢呂, 金澤 伸治

المصدر: 地域安全学会論文集 / Journal of Social Safety Science. 2002, 4:143

المؤلفون: Millin-Chalabi, G.M., McMorrow, J.M. and Agnew, C.T.

مصطلحات موضوعية: InSAR, Intensity, Peak District, CORINE, SAR intensity, Precipitation, Moorland, Coherence, Fire Scar

وصف الملف: text; application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::255635d626b81cd709e8bb263a9d132c
http://www.manchester.ac.uk/escholar/uk-ac-man-scw:155700