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Automatic detection of moving wild animals in airborne remote sensing images

Yu Oishi, Tsuneo Matsunaga
2010 2010 IEEE International Geoscience and Remote Sensing Symposium  
In this study, we developed an algorithm for automatic detection of moving wild animals in the snow in airborne remote sensing images with 60 % overlap taken in Sarufutsu Village, Hokkaido in Japan [3  ...  This is the first report on automatic detection of wild animals from remote sensing images except infrared thermal imagery in Japan.  ...  Shimazaki for providing airborne images and for their helpful comments, H. Yamano, H.  ... 
doi:10.1109/igarss.2010.5654227 dblp:conf/igarss/OishiM10 fatcat:gjwumw7bezgjpa64aq4nedwv3i

Animal Detection Using Thermal Images and Its Required Observation Conditions

Yu Oishi, Hiroyuki Oguma, Ayako Tamura, Ryosuke Nakamura, Tsuneo Matsunaga
2018 Remote Sensing  
In this study, we applied one of the developed algorithms, the computer-aided detection of moving wild animals (DWA) algorithm, to thermal remote sensing images.  ...  To address this problem, we have developed several support systems for the automated detection of wild animals in remote sensing images.  ...  Kato for help obtaining thermal images using Grass HOPPER, and Nakanihon Air Service Co., Ltd. for providing airborne images. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs10071050 fatcat:tgvht5wimbfzxofefnpigti3km

Surveying Wild Animals from Satellites, Manned Aircraft and Unmanned Aerial Systems (UASs): A Review

Dongliang Wang, Quanqin Shao, Huanyin Yue
2019 Remote Sensing  
The development of software systems for automatically producing image mosaics and recognizing wild animals will further improve survey efficiency.  ...  We also discuss the advantages and limitations of each type of remote sensing data and highlight some new research opportunities and challenges.  ...  Acknowledgments: The authors thank the DigitalGlobe Foundation, USA, for granting us permission to use the QuickBird and GeoEye-1 images, shown in Figure 2 .  ... 
doi:10.3390/rs11111308 fatcat:vqiseuhulnf4ro4a7pxj2wicja

Integrating technologies for scalable ecology and conservation

David C. Marvin, Lian Pin Koh, Antony J. Lynam, Serge Wich, Andrew B. Davies, Ramesh Krishnamurthy, Emma Stokes, Ruth Starkey, Gregory P. Asner
2016 Global Ecology and Conservation  
Remote sensing, ground-based, and data fusion technologies are broadly discussed in the context of ecological research and conservation efforts.  ...  Examples of technology integration across all of these domains are provided for large-scale protected area management and investigation of ecological dynamics.  ...  The economies of scale achieved by airborne remote sensing are reducing the per-area cost tremendously.  ... 
doi:10.1016/j.gecco.2016.07.002 fatcat:l4d7lsjgd5aehoduubenrrxikq

Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response

Ferda Ofli, Patrick Meier, Muhammad Imran, Carlos Castillo, Devis Tuia, Nicolas Rey, Julien Briant, Pauline Millet, Friedrich Reinhard, Matthew Parkan, Stéphane Joost
2016 Big Data  
The results suggest that the platform we have developed to combine crowdsourcing and machine learning to make sense of large volumes of aerial images can be used for disaster response.  ...  Crowdsourcing can be used to annotate features of interest in aerial images (such as damaged shelters and roads blocked by debris).  ...  in the remote sensing image characteristics.  ... 
doi:10.1089/big.2014.0064 pmid:27441584 fatcat:mrk6ixmpyfhz3d4x7isvq7os6e

A Comprehensive Overview of Technologies for Species and Habitat Monitoring and Conservation

José J Lahoz-Monfort, Michael J L Magrath
2021 BioScience  
We describe technologies that deploy sensors that are fixed or portable, attached to vehicles (terrestrial, aquatic, or airborne) or to animals (biologging), complemented with a section on wildlife tracking  ...  The range of technologies currently used in biodiversity conservation is staggering, with innovative uses often adopted from other disciplines and being trialed in the field.  ...  Airborne remote sensing This section describes sensing devices that are used from airborne vehicles.  ... 
doi:10.1093/biosci/biab073 pmid:34616236 pmcid:PMC8490933 fatcat:2t57ecor35aerl35wf66hx2x7e

Conservation Tech Directory [article]

Carly Batist, Gracie Ermi, Gracie Ermie
2022 figshare.com  
Carly is a PhD Candidate in primatology at the City University of New York (CUNY) Graduate Center in New York City.  ...  of Madagascar.  ...  the health of vital reef ecosystems uses remote sensing, satellite imagery & digital mapping to alert prevent invasive species in America's wild places; has mobile app; learning models built in, open  ... 
doi:10.6084/m9.figshare.15442200.v12 fatcat:b4bfumzexjec5lh4bdk3q35bia

Conservation Tech Directory [article]

Carly Batist, Gracie Ermi, Gracie Ermie
2022 figshare.com  
Carly is a PhD Candidate in primatology at the City University of New York (CUNY) Graduate Center in New York City.  ...  of Madagascar.  ...  training data to accelerate implementation of AI in fisheries https://www.fishnet.ai/ The Nature Conservancy automatic event detection framework for passive acoustic archival com/DanWoodrich/INSTI data  ... 
doi:10.6084/m9.figshare.15442200.v13 fatcat:qgs2d2chsbdo5hflfzwu3p2rzq

Autonomous surveillance for biosecurity

Raja Jurdak, Alberto Elfes, Branislav Kusy, Ashley Tews, Wen Hu, Emili Hernandez, Navinda Kottege, Pavan Sikka
2015 Trends in Biotechnology  
Conventional manual biosecurity surveillance methods are limited by their scalability in space and time.  ...  The global movement of people and goods has increased the risk of biosecurity threats and their potential to incur large economic, social, and environmental costs.  ...  Low--power image sensor networks have been used to detect and classify insect pests [20] and feral animals [21].  ... 
doi:10.1016/j.tibtech.2015.01.003 pmid:25744760 fatcat:ym4i2cgeengrrpge3q5ofqpqke

Sensing technologies for precision specialty crop production

W.S. Lee, V. Alchanatis, C. Yang, M. Hirafuji, D. Moshou, C. Li
2010 Computers and Electronics in Agriculture  
These factors can be measured using diverse types of sensors and instruments such as field-based electronic sensors, spectroradiometers, machine vision, airborne multispectral and hyperspectral remote  ...  sensing, satellite imagery, thermal imaging, RFID, and machine olfaction system, among others.  ...  The number of apples automatically detected was highly correlated with the number of fruits manually counted in the images.  ... 
doi:10.1016/j.compag.2010.08.005 fatcat:tesilbgowvf3vplcwgbcevmhyy

Automatic Counting of Large Mammals from Very High Resolution Panchromatic Satellite Imagery

Yifei Xue, Tiejun Wang, Andrew K. Skidmore
2017 Remote Sensing  
Advances in image data capture and processing provide new opportunities for using applied remote sensing to count animals.  ...  Previous studies have demonstrated the feasibility of using very high resolution multispectral satellite images for animal detection, but to date, the practicality of detecting animals from space using  ...  We also thank Festus Ihwagi and Tawanda Gara for their assistance with the visual interpretation of the GeoEye-1 satellite images.  ... 
doi:10.3390/rs9090878 fatcat:ihfu72ko3zgv3pagnltk2fym5e

Estimating animal density in three dimensions using capture‐frequency data from remote detectors

Juan S. Vargas Soto, Rowshyra A. Castañeda, Nicholas E. Mandrak, Péter K. Molnár, Marcus Rowcliffe, Marcus Rowcliffe
2020 Remote Sensing in Ecology and Conservation  
Here we adapt one such framework to three-dimensional movement, to characterize the relationship between population density, animal speed, characteristics of a remote sensor's detection zone and detection  ...  Remote detectors are being used increasingly often to study aquatic and aerial species, which move significantly differently from terrestrial species.  ...  Data Accessibility The code for the simulations and to reproduce figures is available in the following repository:github.com/juansvs/ 3D_DensityEstimation.  ... 
doi:10.1002/rse2.159 fatcat:mfozmjasknfnzcu6rbricbsc24

Thermal cameras and applications: a survey

Rikke Gade, Thomas B. Moeslund
2013 Machine Vision and Applications  
Applications include animals, agriculture, buildings, gas detection, industrial, and military applications, as well as detection, tracking, and recognition of humans.  ...  Deploying this type of sensor in vision systems eliminates the illumination problems of normal greyscale and RGB cameras.  ...  Therefore [172] proposes automatic analysis of thermal images for detection of animals hidden in the vegetation.  ... 
doi:10.1007/s00138-013-0570-5 fatcat:pnln65h2ovcfrophfy2eijcbue

Thermal Infrared Remote Sensing of Water Temperature in Riverine Landscapes [chapter]

Rebecca N. Handcock, Christian E. Torgersen, Keith A. Cherkauer, Alan R. Gillespie, Klement Tockner, Russel N. Faux, Jing Tan
2012 Fluvial Remote Sensing for Science and Management  
Processing of TIR image data While some remote sensing data processing methods, such as geo-rectification, are common for all remote sensing data, the emitted nature of TIR remote sensing requires some  ...  Reprinted from Remote Sensing of Environment, 76(3), Torgersen, C.E. et al., Airborne thermal remote sensing for water temperature assessment in rivers and streams, pp. 386-398, Copyright 2001, with permission  ... 
doi:10.1002/9781119940791.ch5 fatcat:dwrgsewmz5d5fpf4kwmeolislm

Perspectives on the use of unmanned aerial systems to monitor cattle

Jayme Garcia Arnal Barbedo, Luciano Vieira Koenigkan
2018 Outlook on Agriculture  
The use of unmanned aerial systems (UASs) in agriculture has been growing steadily in the last decade, but their use to monitor and count cattle has been very limited.  ...  This article analyses the reasons for this apparent lack of progress, considering both the technical challenges and the difficulties in defining target users who would benefit from a UAS-based system for  ...  The automatic identification and counting of animals using remote sensing images is not trivial, even if the images are completely free of distortions and animals do not move.  ... 
doi:10.1177/0030727018781876 fatcat:3oddldlr65g5zhstxvwnthzi34
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