Relevant bibliographies by topics / High resolution synthetic imagery

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'High resolution synthetic imagery'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "High resolution synthetic imagery"

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Bikos, Dan, Daniel T. Lindsey, Jason Otkin, et al. "Synthetic Satellite Imagery for Real-Time High-Resolution Model Evaluation." Weather and Forecasting 27, no. 3 (2012): 784–95. http://dx.doi.org/10.1175/waf-d-11-00130.1.

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Abstract Output from a real-time high-resolution numerical model is used to generate synthetic infrared satellite imagery. It is shown that this imagery helps to characterize model-simulated large-scale precursors to the formation of deep-convective storms as well as the subsequent development of storm systems. A strategy for using this imagery in the forecasting of severe convective weather is presented. This strategy involves comparing model-simulated precursors to their observed counterparts to help anticipate model errors in the timing and location of storm formation, while using the simul
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Ruiz, Luis Fernando Chimelo, José Alexandre Melo Dematte, José Lucas Safanelli, et al. "Obtaining high-resolution synthetic soil imagery for topsoil mapping." Remote Sensing Letters 13, no. 2 (2021): 107–14. http://dx.doi.org/10.1080/2150704x.2021.1999524.

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Pei, Jifang, Yulin Huang, Weibo Huo, Yuxuan Miao, Yin Zhang, and Jianyu Yang. "Synthetic Aperture Radar Processing Approach for Simultaneous Target Detection and Image Formation." Sensors 18, no. 10 (2018): 3377. http://dx.doi.org/10.3390/s18103377.

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Finding out interested targets from synthetic aperture radar (SAR) imagery is an attractive but challenging problem in SAR application. Traditional target detection is independent on SAR imaging process, which is purposeless and unnecessary. Hence, a new SAR processing approach for simultaneous target detection and image formation is proposed in this paper. This approach is based on SAR imagery formation in time domain and human visual saliency detection. First, a series of sub-aperture SAR images with resolutions from low to high are generated by the time domain SAR imaging method. Then, thos
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Feltz, W. F., K. M. Bedka, J. A. Otkin, T. Greenwald, and S. A. Ackerman. "Understanding Satellite-Observed Mountain-Wave Signatures Using High-Resolution Numerical Model Data." Weather and Forecasting 24, no. 1 (2009): 76–86. http://dx.doi.org/10.1175/2008waf2222127.1.

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Abstract Prior work has shown that pilot reports of severe turbulence over Colorado often occur when complex interference or crossing wave patterns are present in satellite water vapor imagery downstream of the Rocky Mountains. To improve the understanding of these patterns, a high-resolution (1-km) Weather Research and Forecasting (WRF) model simulation was performed for an intense mountain-wave event that occurred on 6 March 2004. Synthetic satellite imagery was subsequently generated by passing the model-simulated data through a forward radiative transfer model. Comparison with concurrent M
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Meier, Walter N., and Mingrui Dai. "High-resolution Sea-ICE motions from AMSR-E imagery." Annals of Glaciology 44 (2006): 352–56. http://dx.doi.org/10.3189/172756406781811286.

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AbstractPassive microwave remote-sensing imagery has proven to be a useful Source for Sea-ICE motions because of its all-sky capabilities. However, the low Spatial resolution of the passive microwave Sensors has not allowed the retrieval of Small-scale motion details Such as lead and ridge formation. The NAsA Earth Observing System Advanced Microwave Scanning Radiometer (AMSR-E) has more than double the Spatial resolution of previous passive microwave Sensors, allowing it to track the formation of moderate-sized leads and yield much more detailed and more accurate ICE-motion estimates. Compari
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Zhang, Man, Sha Huan, Zeya Zhao, and Zhibin Wang. "Channel Phase Calibration for High-Resolution and Wide-Swath SAR Imaging with Doppler Spectrum Sharpness Optimization." Sensors 22, no. 5 (2022): 1781. http://dx.doi.org/10.3390/s22051781.

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Channel phase calibration is a crucial issue in high resolution and wide swath (HRWS) imagery with azimuth multi-channel synthetic aperture radar (SAR) systems. Precise phase calibration is definitely required in reconstructing the full Doppler spectrum for precise HRWS imagery without high-level ambiguities. In this paper, we propose a novel calibration for HRWS SAR imagery by optimizing the reconstructed unambiguous Doppler spectrum. The sharpness of the reconstructed Doppler spectrum is applied as the metric to measure the unambiguity quality, which is maximized to retrieve the element phas
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Lifan Zhao, Lu Wang, Guoan Bi, and Lei Yang. "An Autofocus Technique for High-Resolution Inverse Synthetic Aperture Radar Imagery." IEEE Transactions on Geoscience and Remote Sensing 52, no. 10 (2014): 6392–403. http://dx.doi.org/10.1109/tgrs.2013.2296497.

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Lan, Tian, Shuting He, Yuanyuan Qing, and Bihan Wen. "Leveraging Mixed Data Sources for Enhanced Road Segmentation in Synthetic Aperture Radar Images." Remote Sensing 16, no. 16 (2024): 3024. http://dx.doi.org/10.3390/rs16163024.

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In this study, we tackle the task of road segmentation from Synthetic Aperture Radar (SAR) imagery, which is vital for remote sensing applications including urban planning and disaster management. Despite its significance, SAR-based road segmentation is hindered by the scarcity of high-resolution, annotated SAR datasets and the distinct characteristics of SAR imagery, which differ significantly from more commonly used electro-optical (EO) imagery. To overcome these challenges, we introduce a multi-source data approach, creating the HybridSAR Road Dataset (HSRD). This dataset includes the Space
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Kim, Doyi, and Yeji Choi. "Utilization of satellite imagery and artificial intelligence for disaster management: Approaches and case studies." ITU Journal on Future and Evolving Technologies 6, no. 1 (2025): 47–56. https://doi.org/10.52953/qofv8553.

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The advent of advanced satellite observations and the rapid evolution of Artificial Intelligence (AI) technologies have led to a fundamental shift in disaster management. These technologies enhance precise prediction, closer monitoring, and more efficient and effective responses to natural disasters. This study introduces AI-based satellite image analysis solutions throughout the disaster management cycle: prevention, preparedness, response, and recovery. Satellite imagery, captured through various channels, resolutions, and orbits, plays a crucial role throughout the entire disaster managemen
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Fischbach, Anthony S., and David C. Douglas. "Evaluation of Satellite Imagery for Monitoring Pacific Walruses at a Large Coastal Haulout." Remote Sensing 13, no. 21 (2021): 4266. http://dx.doi.org/10.3390/rs13214266.

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Pacific walruses (Odobenus rosmarus divergens) are using coastal haulouts in the Chukchi Sea more often and in larger numbers to rest between foraging bouts in late summer and autumn in recent years, because climate warming has reduced availability of sea ice that historically had provided resting platforms near their preferred benthic feeding grounds. With greater numbers of walruses hauling out in large aggregations, new opportunities are presented for monitoring the population. Here we evaluate different types of satellite imagery for detecting and delineating the peripheries of walrus aggr
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Dissertations / Theses on the topic "High resolution synthetic imagery"

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Aubrecht, Tomáš. "Generation of Synthetic Retinal Images with High Resolution." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-417220.

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K pořízení snímků sítnice, která představuje nejdůležitější část lidského oka, je potřeba speciálního vybavení, kterým je fundus kamera. Z tohoto důvodu je cílem této práce navrhnout a implementovat systém, který bude schopný generovat takovéto snímky bez použítí této kamery. Navržený systém využívá mapování vstupního černobílého snímku krevního řečiště sítnice na barevný výstupní snímek celé sítnice. Systém se skládá ze dvou neuronových sítí: generátoru, který generuje snímky sítnic, a diskriminátoru, který klasifikuje dané snímky jako reálné či syntetické. Tento systém byl natrénován na 141
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Ma, Qing. "High-Resolution X-Ray Image Generation from CT Data Using Super-Resolution." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42782.

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Synthetic X-ray or digitally reconstructed radiographs (DRRs) are simulated X-ray images projected from computed tomography (CT) data that are commonly used for CT and real X-Ray image registration. High-quality synthetic X-ray images can facilitate various applications such as guiding images for virtual reality (VR) simulation and training data for deep learning methods such as creating CT data from X-Ray images. It is challenging to generate high-quality synthetic X-ray images from CT slices, especially in various view angles, due to gaps between CT slices, high computational cost, and the
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Singh, Jagmal [Verfasser]. "Spatial content understanding of very high resolution synthetic aperture radar images / Jagmal Singh." Siegen : Universitätsbibliothek der Universität Siegen, 2014. http://d-nb.info/1054543852/34.

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Porfiri, Martina. "Digital surface model generation over urban areas using high resolution satellite SAR imagery : tomographic techniques and their application to 3-Dchange monitoring." Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S035/document.

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L'urbanisation et la gestion de l'environnement urbain et sa périphérie deviennent l'un des problèmes les plus cruciaux dans les pays développés et en développement. Dans ces circonstances, les données de télédétection sont une source importante d'information qui reflète les interactions entre les êtres humains et leur environnement. Compte tenu de leur indépendance totale des contraintes logistiques sur le terrain, l'éclairage (lumière du jour) et météorologiques (nuages) conditions, Synthetic Aperture Radar (SAR) les systèmes de satellites peuvent fournir des contributions importantes dans d
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Preston, Stephen Joseph. "Design and Feasibility Testing for a Ground-based, Three-dimensional, Ultra-high-resolution, Synthetic Aperture Radar to Image Snowpacks." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2709.

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This thesis works through the design of a radar-based system for imaging snowpacks remotely and over large areas to assist in avalanche prediction. The key to such a system is the ability to image volumes of snow at shallow, spatially-varying angles of incidence. To achieve this prerequisite, the design calls for a ground-based Synthetic Aperture Radar (SAR) capable of generating three-dimensional, ultra-high-resolution images of a snowpack. To arrive at design parameters for this SAR, the thesis works through relevant principles in avalanche mechanics, alpine-snowpack geophysics, and electrom
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Lim, Kian Guan. "Battle damage assessment using inverse synthetic aperture radar (ISAR)." Thesis, Monterey, California. Naval Postgraduate School, 2004. http://hdl.handle.net/10945/1223.

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Approved for public release; distribution in unlimited.<br>An imaging radar, like ISAR, offers a combatant the capability to perform long range surveillance with high quality imagery for positive target identification. Extending this attractive feature to the battle damage assessment problem (BDA) gives the operator instant viewing of the target's behavior when it is hit. As a consequence, immediate and decisive action can be quickly taken (if required). However, the conventional Fourier processing adopted by most ISAR systems does not provide adequate time resolution to capture the target's d
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Welter, Joseph Donald. "NPS high resolution synthetic aperture sonar." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA306558.

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Thesis (M.S. in Applied Physics and M.S. in Electrical Engineering) Naval Postgraduate School, December 1995.<br>"December 1995." Thesis advisor(s): Donald L. Walters, Roberto Cristi. Bibliography: p. 101. Also available online.
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Nilsson, Mårten. "Augmenting High-Dimensional Data with Deep Generative Models." Thesis, KTH, Robotik, perception och lärande, RPL, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233969.

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Data augmentation is a technique that can be performed in various ways to improve the training of discriminative models. The recent developments in deep generative models offer new ways of augmenting existing data sets. In this thesis, a framework for augmenting annotated data sets with deep generative models is proposed together with a method for quantitatively evaluating the quality of the generated data sets. Using this framework, two data sets for pupil localization was generated with different generative models, including both well-established models and a novel model proposed for this pu
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Banks, Simon Michael. "Studies in high resolution synthetic aperture sonar." Thesis, University College London (University of London), 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.401240.

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Pavuluri, Manoj Kumar. "Fuzzy decision tree classification for high-resolution satellite imagery /." free to MU campus, to others for purchase, 2003. http://wwwlib.umi.com/cr/mo/fullcit?p1418056.

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Books on the topic "High resolution synthetic imagery"

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Wehner, Donald R. High resolution radar. Artech House, 1987.

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Wehner, Donald R. High-resolution radar. 2nd ed. Artech House, 1995.

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Development, North Atlantic Treaty Organization Advisory Group for Aerospace Research and. High resolution air- and spaceborne radar. AGARD, 1989.

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1947-, Komoroski Richard A., ed. High resolution NMR spectroscopy of synthetic polymers in bulk. VCH Publishers, 1986.

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Hlavka, Christine A. Unmixing AVHRR imagery to assess clearcuts and forest regrowth in Oregon. National Aeronautics and Space Administration, 1995.

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Hlavka, Christine A. Unmixing AVHRR imagery to assess clearcuts and forest regrowth in Oregon. National Aeronautics and Space Administration, 1995.

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König, Christine. Eisfernerkundung mit "NOAA-advanced very high resolution radiometer" (AVHRR) und "synthetic aperture radar" (SAR). Bundesamt für Seeschiffahrt und Hydrographie, 1995.

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Joanne, White, Mountain Pine Beetle Initiative (Canada), and Pacific Forestry Centre, eds. Detection of red attack stage mountain pine beetle infestation with high spatial resolution satellite imagery. Canadian Forest Service, Pacific Forestry Centre, 2005.

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United States. National Aeronautics and Space Administration., ed. Very high resolution UV and X-ray spectroscopy and imagery of solaractive regions: Final report. Lockheed Missiles & Space Company, Inc., 1987.

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Nickeson, Jaime. BOREAS level 3-b AVHRR-LAC imagery: Scaled at-sensor radiance in LGSOWG format. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Book chapters on the topic "High resolution synthetic imagery"

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Zhao, Yinghui, and Xijuan Yue. "Research on High-Resolution Synthetic Aperture Radar Image for Varied Antenna Beam Pointing." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3947-3_33.

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Dai, Xianjin, and Xiaofeng Yang. "High-Resolution Image Estimation using Deep Learning." In Medical Image Synthesis. CRC Press, 2023. http://dx.doi.org/10.1201/9781003243458-12.

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Raizer, Victor. "High-Resolution Imagery and Observations." In Advances in Passive Microwave Remote Sensing of Oceans, 2nd ed. CRC Press, 2024. http://dx.doi.org/10.1201/9781003497110-5.

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Yang, Ruliang, Haiying Li, Shiqiang Li, et al. "Sliding Spotlight Synthetic Aperture Radar." In High-Resolution Microwave Imaging. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7138-6_9.

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Deshpande, A. A. "Source-Noise in Radio Synthesis Images of Polarised Sources." In Very High Angular Resolution Imaging. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0880-5_11.

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Saad, Muhammad Muneeb, Mubashir Husain Rehmani, and Ruairi O’Reilly. "A Self-attention Guided Multi-scale Gradient GAN for Diversified X-ray Image Synthesis." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_2.

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AbstractImbalanced image datasets are commonly available in the domain of biomedical image analysis. Biomedical images contain diversified features that are significant in predicting targeted diseases. Generative Adversarial Networks (GANs) are utilized to address the data limitation problem via the generation of synthetic images. Training challenges such as mode collapse, non-convergence, and instability degrade a GAN’s performance in synthesizing diversified and high-quality images. In this work, MSG-SAGAN, an attention-guided multi-scale gradient GAN architecture is proposed to model the re
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Chai, Lucy, Michaël Gharbi, Eli Shechtman, Phillip Isola, and Richard Zhang. "Any-Resolution Training for High-Resolution Image Synthesis." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19787-1_10.

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Häme, Tuomas, Mikael Holm, Susanna Rautakorpi, and Eija Parmes. "Forestry Applications of High Resolution Imagery." In Machine Vision and Advanced Image Processing in Remote Sensing. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60105-7_10.

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Malpica, José A. "Splines Interpolation in High Resolution Satellite Imagery." In Advances in Visual Computing. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11595755_68.

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Wada, Yoshitaka, Kohei Murotani, Masao Ogino, Hiroshi Kawai, and Ryuji Shioya. "High-Resolution Visualization Library for Exascale Supercomputer." In Mathematical Progress in Expressive Image Synthesis III. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1076-7_10.

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Conference papers on the topic "High resolution synthetic imagery"

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Cui, Shaozhe, Zhe Peng, Yuanrui Dong, Yingwei He, Guojin Feng, and Haiyong Gan. "Aircraft detection in high-resolution synthetic aperture radar images based on optical training dataset." In Infrared, Millimeter-Wave, and Terahertz Technologies XI, edited by Masahiko Tani and Cunlin Zhang. SPIE, 2024. http://dx.doi.org/10.1117/12.3036454.

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Lee, Gi Pyo, Young Jae Kim, and Kwang Gi Kim. "Generative models for high-resolution synthetic image of gastric cancer for improved gastric cancer detection." In Computer-Aided Diagnosis, edited by Susan M. Astley and Axel Wismüller. SPIE, 2025. https://doi.org/10.1117/12.3047169.

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PINTO, M., and V. MYERS. "TOPICS IN AUTOMATED TARGET RECOGNITION FOR HIGH RESOLUTION SONAR IMAGERY." In Synthetic Aperture Sonar and Radar 2006. Institute of Acoustics, 2023. http://dx.doi.org/10.25144/17891.

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Batts, Alex W., Brian D. Rigling, Uttam Kumar Majumder, and Edmund G. Zelnio. "Efficient high resolution 3D SAR imaging via superresolution spectral estimation methods." In Algorithms for Synthetic Aperture Radar Imagery XXXI, edited by Edmund Zelnio and Frederick D. Garber. SPIE, 2024. http://dx.doi.org/10.1117/12.3016430.

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Herman, Stephen, and Joshua Ash. "A generalized gamma copula model for high resolution polarimetric SAR change detection." In Algorithms for Synthetic Aperture Radar Imagery XXXI, edited by Edmund Zelnio and Frederick D. Garber. SPIE, 2024. http://dx.doi.org/10.1117/12.3028781.

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Zeng, Xiangfeng, Shunjun Wei, Jun Shi, and Xiaoling Zhang. "Efficient Instance Segmentation Method For High-Resolution SAR Imagery." In 2021 7th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE, 2021. http://dx.doi.org/10.1109/apsar52370.2021.9688454.

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Lee, Ken Yoong, and Timo Rolf Bretschneider. "Clutter statistics in high-resolution synthetic aperture radar imagery." In IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2015. http://dx.doi.org/10.1109/igarss.2015.7326146.

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Su, Hao, Shunjun Wei, Mengke Wang, Liming Zhou, Jun Shi, and Xiaoling Zhang. "Ship Detection Based on RetinaNet-Plus for High-Resolution SAR Imagery." In 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE, 2019. http://dx.doi.org/10.1109/apsar46974.2019.9048269.

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GEILHUFE, M., S. DUGELAY, SAV SYNNES, TO SÆBØ, Ø. MIDTGAARD, and RE HANSEN. "COMPARATIVE STUDY OF FREQUENCY DEPENDENCY IN HIGH RESOLUTION SONAR IMAGERY FORM THE MANEX'13 SEA TRIALS." In Synthetic Aperture in Sonar and Radar 2014. Institute of Acoustics, 2023. http://dx.doi.org/10.25144/16222.

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Zhou, Zheng-Shu, Peter Caccetta, Xiaoliang Wu, and Jeremy Wallace. "Assessments of DSMs from high resolution TanDEM-X imagery with aerial photogrammetric results." In 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE, 2015. http://dx.doi.org/10.1109/apsar.2015.7306285.

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Reports on the topic "High resolution synthetic imagery"

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Groeneveld, Davis, and Williams. L51974 Automated Detection of Encroachment Events Using Satellite Remote Sensing. Pipeline Research Council International, Inc. (PRCI), 2002. http://dx.doi.org/10.55274/r0011300.

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As an integral part of the ongoing effort to develop an operational capability of remote sensing based pipeline encroachment monitoring, this investigation focused on the development of automated target detection using synthetic aperture radar (RADARSAT) and optical (QUICKBIRD, EROS) satellite imagery. Specifically, the study aimed at meeting the following objectives: To develop automated target detection algorithms for optical and radar imagery that replicate detection rates obtained through visual image interpretation; To investigate the utility of newly available high-resolution optical sat
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Deschamps, Henschel, and Robert. PR-420-123712-R01 Lateral Ground Movement Detection Capabilities Derived from Synthetic Aperture Radar. Pipeline Research Council International, Inc. (PRCI), 2014. http://dx.doi.org/10.55274/r0010831.

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The objective of this research was to quantify long-term ground deformation at the Belridge Oil Field, in the San Joaquin Valley (SJV), California using operational Interferometric Synthetic Aperture Radar (InSAR) monitoring techniques. A high spatial and temporal resolution, millimeter-precision time-series of ground deformation measurements was produced for the entire oil field from 2000 to 2012 using imagery from multiple satellites and beam modes. Trihedral Corner Reflectors (CRs) with co-located Global Navigation Satellite System (GNSS) units were used to validate the wide-area measuremen
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Oliver, Peter, and Gillian Robert. PR-420-183903-R01 Pipeline Right-of-Way River Crossing Monitoring With Satellites. Pipeline Research Council International, Inc. (PRCI), 2022. http://dx.doi.org/10.55274/r0012247.

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The goal of the work described herein is to provide PRCI and the pipeline industry further understanding of the current capabilities and limitations of combined SAR and high resolution optical satellite imagery for the monitoring of pipeline ROWs which span river crossings. Four Areas of Interests (AOIs) with pipeline ROWs that span river crossings were selected for analysis: South Saskatchewan River, Saskatchewan, Canada operated by SaskEnergy Incorporated; Thompson Creek, Louisiana, USA operated by Colonial Pipeline Company; Gila River, Arizona, USA operated by Kinder Morgan Incorporated; an
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Campbell, Michael V., Robert L. Fischer, Timothy Pangburn, and Mark J. Hardenberg. Using High Spatial Resolution Digital Imagery. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada430649.

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Toutin, Th. DEM Extraction from High Resolution Imagery. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2003. http://dx.doi.org/10.4095/220068.

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Brown, R. J., K. Staenz, H. McNairn, B. Hopp, and R. van Acker. Application of High Resolution Optical Imagery to Precision Agriculture. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1997. http://dx.doi.org/10.4095/218969.

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Ahn, Yushin, and Richard Poythress. Impervious Surfaces from High Resolution Aerial Imagery: Cities in Fresno County. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2257.

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This study investigates impervious surfaces — areas covered by materials with restricted water permeability, such as pavement, sidewalks, and parking lots—due to their crucial role in influencing water dynamics within urban landscapes. The impermeability of these surfaces disrupts natural water absorption processes, resulting in adverse environmental consequences such as increased flooding, erosion, and water pollution. The research employs impervious surface analysis, a method involving the mapping and analysis of these surfaces within specified study areas, including cities, counties, and ce
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Fisker, Peter. High-Resolution Estimation of Rural Poverty: Insights from Ethiopia. Data and Evidence to End Extreme Poverty, 2024. https://doi.org/10.55158/deepwp29.

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High-resolution satellite imagery and machine learning techniques enable precise mapping of rural poverty, as demonstrated in this paper for the case of Ethiopia. Using household survey data with precise GPS coordinates, combined with multiple geospatial datasets, we develop a novel two-stage Random Forest model that first predicts roof materials from satellite imagery and then uses this prediction alongside other geospatial features to estimate household consumption levels. The model achieves high predictive accuracy across different spatial scales, with Spearman correlations between 0.81 and
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9

Portouw, Lawrence J. Implications of High-Resolution, Commercial Space Imagery for National Security and Homeland Defense. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada401674.

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10

Babski, Ronald J., and Jr. Hide Your Shape Sun Tzu ROE Considerations for Negating High-Resolution Commercial Imagery Satellites. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada363236.

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