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A Region-Based GeneSIS Segmentation Algorithm for the Classification of Remotely Sensed Images

Stelios Mylonas, Dimitris Stavrakoudis, John Theocharis, Paris Mastorocostas
2015 Remote Sensing  
This paper proposes an object-based segmentation/classification scheme for remotely sensed images, based on a novel variant of the recently proposed Genetic Sequential Image Segmentation (GeneSIS) algorithm  ...  GeneSIS segments the image in an iterative manner, whereby at each iteration a single object is extracted via a genetic-based object extraction algorithm.  ...  Paris A. Mastorocostas contributed to research design and manuscript revision. Conflicts of Interest The authors declare no conflict of interest. Remote Sens. 2015, 7  ... 
doi:10.3390/rs70302474 fatcat:ljkla6yg7ventgyl67wechdfi4

2015 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 53

2015 IEEE Transactions on Geoscience and Remote Sensing  
Marsetic, A., +, TGRS Nov. 2015 6035-6047 Classification of Remotely Sensed Images Using the GeneSIS Fuzzy Segmentation Algorithm.  ...  ., +, TGRS May 2015 2683-2695 Classification of Remotely Sensed Images Using the GeneSIS Fuzzy Segmentation Algorithm.  ...  Radiofrequency interference A Methodology to Determine Radio-Frequency Interference in AMSR2 Observations.  ... 
doi:10.1109/tgrs.2015.2513444 fatcat:zuklkpk4gjdxjegoym5oagotzq

2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP): Conference Programme (August 21st –25th, 2018)

Volodymyr Yuzevych, Bohdan Koman
2018 Figshare  
for Their Recognition Volodymyr Sherstiuk, Marina Zharikova and Igor Sokol Forest Fire Monitoring System Based on UAV team, Remote Sensing, and Image Processing Yuriy Furgala, Yuriy Mochulsky and Bohdan  ...  Approachinformation on submission Mesbaholdin Salami, Farzad Movahedi Sobhani and Mohammad Sadegh Ghazizadeh Development of a New Algorithm Based on Simulation - Optimization Algorithms for Big Data  ... 
doi:10.6084/m9.figshare.6869990.v1 fatcat:crafybog3fbshjp2ekj4c5akrq

Applications and Challenges of Artificial Intelligence in Space Missions

Paul A. Oche, Gideon A. Ewa, Nwanneka Ibekwe
2021 IEEE Access  
These limitations have necessitated the need to have a concise survey with a wider scope for those interested in the applications and challenges of AI in the space industry, especially those with technical  ...  Some bioinspired AI algorithms were also surveyed and their potential application areas highlighted.  ...  ; Image Remote Sensing, Image Processing, [81-86], [87] Algorithm segmentation; optimum job Robotic and Autonomous System scheduling; optimal power flow; (RAS) pattern recognition Artificial Immune AD;  ... 
doi:10.1109/access.2021.3132500 fatcat:2n5el5dcqzgdtc3brca5xwxrfu

Overview on the Development of Intelligent Methods for Mineral Resource Prediction under the Background of Geological Big Data

Shi Li, Jianping Chen, Chang Liu
2022 Minerals  
In the age of big data, the prediction and evaluation of geological mineral resources have gradually entered a new stage, intelligent prospecting.  ...  current research on mineral resource prediction has integrated logical reasoning, theoretical models, computational simulations, and other scientific research models, and has gradually advanced toward a  ...  and air-based ground remote-sensing observation activities.  ... 
doi:10.3390/min12050616 fatcat:ztklcd3xsnamlefhiqf4ehr2xe

Understanding Smart Sensors

Randy Frank
2000 Measurement science and technology  
In the area of medical research, a PC and WWW browser software allow users to view magnetic resonance imaging (MRI) data from a remote 170-MHz proton imaging spectrometer.  ...  They also are required for more complex sensing in imaging and navigation systems.  ...  recommended operating value is applied fuzzy logic a branch of logic that uses degree of membership in sets rather than a strict true/false membership gateway a node used to connect networks that use  ... 
doi:10.1088/0957-0233/11/12/711 fatcat:inet5t3lzbecrczd2f5tdevkzq

Mapping the possible occurrence of archaeological sites by Bayesian inference

P.A. Finke, E. Meylemans, J. Van de Wauw
2008 Journal of Archaeological Science  
We constructed a regional soil database and combined it with remotely sensed images to first map and then predict top-soil characteristics.  ...  A good correlation between the clay fraction (taken from the soil point database) and the estimated clay minerals content (sensed by the sensor) was found, suggesting that we can use remotely sensed images  ...  A scheme for the construction and use of this spectral library is presented. A total of 1878 soil samples from different layers were scanned.  ... 
doi:10.1016/j.jas.2008.05.004 fatcat:4zjqmj4d45e2zf5s3bbdtzeovm

CARS 2016—Computer Assisted Radiology and Surgery Proceedings of the 30th International Congress and Exhibition Heidelberg, Germany, June 21–25, 2016

2016 International Journal of Computer Assisted Radiology and Surgery  
We would like to thank the Spanish company BQ for the donation of the 3D printing hardware for clinical use.  ...  '', and Amazon Inc., for providing valuable computing resources through an ''AWS in Education Research'' grant.  ...  for registration-based gas trapping phenotypes.  ... 
doi:10.1007/s11548-016-1412-5 pmid:27206418 fatcat:uk5r46n2xvhedkfjzmeiweyneq

Extracting recent short-term glacier velocity evolution over Southern Alaska from a large collection of Landsat data

Bas Altena, Ted Scambos, Mark Fahnestock, Andreas Kääb
2018 The Cryosphere Discussions  
Our methodology is robust as it is based upon a fuzzy voting scheme to filter multiple outliers. The multi-temporal data stack is then smoothed to facilitate interpretation.  ...  In this study we propose a new post-processing procedure for assembling a set of velocity fields in time-series that generates a better visualization of glacier speed changes when the velocity fields are  ...  over Kronebreen and Gwenn Flowers for the AWS data over South Glacier.  ... 
doi:10.5194/tc-2018-66 fatcat:dy2zeqenbzfkrmwqjagbqnabv4

15th International Congress on Instrumentation in Aerospace Simulation Facilities (ICIASF)

1993 Computers & Fluids  
Baron, PhotoSense, for his encouragement to examine blue LEDs as a candidate for ultrastable illumination sources; Mr.  ...  ACKNOWLEDGEMENT The authors wish to thank the EPSRC for the financial support and Colin Bird , Rolls-Royce, for the phosphor samples. ACKNOWLEDGEMENT The authors wish to thank A. L.  ...  This algorithm is based on the discrete pixel-based architecture of the CCD camera and is intended to augment the linear-interpolation algorithm used for fractional-pixel image shifting.  ... 
doi:10.1016/0045-7930(93)90012-x fatcat:5un7rizd3jcblmj2fgh5rciy3a

Conference Digest

2020 2020 IEEE Aerospace Conference  
The Auxiliary Payload Sensor Suite (APSS), a collection of environmental sensors carried by the Interior exploration using Seismic Investigations, Geodesy, and Heat Transport (InSight) lander, is capable  ...  These are trustworthy for scientific research, remote sensing, imagery and aeroplane tracking, etc.  ...  Using the simulated data from the Digital Imaging and Remote Sensing Image Generation (DIRSIG) dataset, the resulting Fusion of EO/ RF neural network (FERNN) can achieve 95% accuracy in vehicle detection  ... 
doi:10.1109/aero47225.2020.9172613 fatcat:ioqf5ijrx5gvffu3ls34aa2nsq

Late-kinematic timing of orogenic gold deposits and significance for computer-based exploration techniques with emphasis on the Yilgarn Block, Western Australia

David I Groves, Richard J Goldfarb, Carl M Knox-Robinson, Juhani Ojala, Stephen Gardoll, Grace Y Yun, Peter Holyland
2000 Ore Geology Reviews  
The successful application of stress mapping and prospectivity mapping to geology-based exploration for orogenic gold deposits indicates that more quantitative analysis of geological map data is a profitable  ...  of suitably oriented pre-existing structures during a change in far-field stress orientation is a factor common to many deposits, and repeated reactivation may account for multiple mineralization episodes  ...  We are grateful for funding for gold research from many supportive Australian mining and exploration companies. The paper has been improved by the reviews of Tim Bell and Peter Laznicka.  ... 
doi:10.1016/s0169-1368(00)00002-0 fatcat:r7jcwncmindltm62jcnm2q7vhm

Journal of Computer Science IJCSIS March 2021 Full Volume

IJCSIS Editor
2021 Zenodo  
PaperID 01032115: Clustering Massive Packets using a Lock-Free Algorithm of Tree-Based Reduction on GPGPU (pp. 19-24) Ruo Ando, National Institute of Informatics, Center for Cybersecurity Research and  ...  PaperID 01032120: Node Mobility Optimization in Multi-hop WBAN Using Genetic Algorithm (pp. 25-31) Md.  ...  Genesis is the concluding component of GA which is used for mutation and crossover formula in the programming section [13] .  ... 
doi:10.5281/zenodo.5571271 fatcat:iao6mhiihfhjlp4b5mcqo3ybta

Mining scientific data [chapter]

Naren Ramakrishnan, Ananth Y. Grama
2002 Advances in Computers  
We discuss algorithms, techniques, and methodologies for their effective application and present application studies that summarize the stateof-the-art in this emerging field.  ...  The past two decades have seen rapid advances in high performance computing and tools for data acquisition in a variety of scientific domains.  ...  Rapid advances in remote sensing have also resulted in large repositories of high-resolution imagery that pose significant challenges for data handling and analysis.  ... 
doi:10.1016/s0065-2458(01)80028-0 fatcat:sbp5xai2yva2pcx3lj2sq64yma

Finite Set Control Transcription for Optimal Control Applications

Stuart A. Stanton, Belinda G. Marchand
2010 Journal of Spacecraft and Rockets  
Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently  ...  Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining  ...  a sense of comparison for the speed of each of the algorithms based on this example alone.  ... 
doi:10.2514/1.44056 fatcat:z74jwimlqnf6th76fnpwcbgbni
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