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CLEARMiner: Mining of Multitemporal Remote Sensing Images
2015
International Journal of Computer Applications Technology and Research
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A new unsupervised algorithm, called CLimate and rEmote sensing Association patterns Miner, for mining association patterns on heterogeneous time series from climate and remote sensing data, integrated ...
The time series mining method transforms series to symbolic representation in order to identify patterns in a multitemporal satellite images and associate them with patterns in other series within a temporal ...
ARCHITECTURE OF REMOTE AGRI Before applying data mining techniques in remote sensing imagery, it is necessary to submit images to the preprocessing process. ...
doi:10.7753/ijcatr0401.1009
fatcat:rcf3ofsjgrehdlirupdcpxzpdm
Front Matter: Volume 10004
2017
Image and Signal Processing for Remote Sensing XXII
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A unique citation identifier (CID) number is assigned to each article at the time of publication. ...
SPIE uses a seven-digit CID article numbering system structured as follows: The first five digits correspond to the SPIE volume number. ...
detection in bi-temporal polarimetric SAR images
[10004-37]
10004 10
A segmentation-based approach to SAR change detection and mapping [10004-38]
SESSION 9
ANALYSIS OF SAR DATA
10004 12
A real-time ...
doi:10.1117/12.2263641
fatcat:lkznagpvvzdzbhq4f5giqv2p5e
Applications of Google Earth Engine in fluvial geomorphology for detecting river channel change
2020
WIREs Water
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This article is categorized under: Science of Water K E Y W O R D S cloud-based computing, multitemporal, planform analysis, remote sensing, river science ...
Cloud-based computing, access to big geospatial data, and virtualization, whereby users are freed from computational hardware and data management logistics, could revolutionize remote sensing applications ...
These discussions were facilitated through a Scottish Funding Council-Global Challenges Research Fund (SFC-GCRF) grant. ...
doi:10.1002/wat2.1496
fatcat:dqsrb2s3zbhgxfl6aaaafzb4xa
New Methods in Acquisition, Update and Dissemination of Nature Conservation Geodata - Implementation of an Integrated Framework
2015
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Within the framework of this project methods are being tested and implemented a) to introduce remote sensing based approaches into the existing process of biotope mapping and b) to develop a framework ...
Parameters are tested on relevance in regard to the classification process using different data mining approaches and have been used to formalise categories of the European nature information system (EUNIS ...
Further remote sensing technology can be applied to the data base through satellite imagery by methods making use of their higher spectral and temporal resolution. ...
doi:10.5194/isprsarchives-xl-7-w3-707-2015
fatcat:mtyi7gpknbdw7bcrfqldh5expa
2014 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 7
2014
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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., Bronstert, A., and Foerster, S ...
., +, JSTARS Dec. 2014 4860-4868 River Delineation from Remotely Sensed Imagery Using a Multi-Scale Classification Approach. ...
Ai, B., +, JSTARS Dec. 2014 4887-4896
River Delineation from Remotely Sensed Imagery Using a Multi-Scale Clas-
sification Approach. ...
doi:10.1109/jstars.2015.2397347
fatcat:ib3tjwsjsnd6ri6kkklq5ov37a
Segmentation of Optical Remote Sensing Images for Detecting Homogeneous Regions in Space and Time
2018
Revista Brasileira de Cartografia
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Acknowledgments The authors would like to acknowledge the financial support of CAPES, FAPESP e-sensing program (grant 2014/08398-6) and CAPES/COFECUB Programme for the GeoABC Project (n. 845/15) as well ...
Further analysis is needed to apply this approach in regions with higher temporal resolutions and to test different indices and spatial resolutions of Landsat-like image time series. ...
In this paper, we describe a segmentation method applied to time series of Earth Observation data. The method integrates regions in order to detect objects that are homogeneous in space and time. ...
doi:10.14393/rbcv70n5-45227
fatcat:yb7nagsvgfemzjeyrxfs24pbqy
Mapping urban sprawl and impervious surfaces in the northeast United States for the past four decades
2015
GIScience & Remote Sensing
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The lack of large-area time-series maps created the need to develop an approach and products that can easily be scaled. ...
The CART and IS models were applied to modern imagery and backcast to selected archived imagery to generate maps of urban and IS across New England for the past four decades. ...
lack the time series and phenologically matching imagery to backcast time-series models. ...
doi:10.1080/15481603.2015.1076561
fatcat:hxofw7eiyrgnpnrws2uu5f7voi
2019 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 12
2019
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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., +, JSTARS April 2019 1314-1326 A Forecasting Approach to Online Change Detection in Land Cover Time Series. ...
., +, JSTARS Sept. 2019 3701 Eyes in the Skies: A Data-Driven Fusion Approach to Identifying Drug Crops From Remote Sensing Images. ...
doi:10.1109/jstars.2020.2973794
fatcat:sncrozq3fjg4bgjf4lnkslbz3u
Multitemporal remote sensing of landscape dynamics and pattern change: describing natural and anthropogenic trends
2008
Progress in physical geography
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The second objective of this review is to make recommendations, including appropriate landscape pattern indices, for the application of landscape pattern analysis of a long time series of remotely sensed ...
of remotely sensed data. ...
Acknowledgements This project is funded by the Government of Canada through the Mountain Pine Beetle Initiative, a six-year, $40 million programme administered by Natural Resources Canada, Canadian Forest ...
doi:10.1177/0309133308098363
fatcat:v6ywffhz3fcslnplbdpxxlupji
Multitemporal soil pattern analysis with multispectral remote sensing data at the field-scale
2015
Computers and Electronics in Agriculture
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This research proposes a new model for the generation of basic soil information maps for precision agriculture based on multitemporal remote sensing data analysis and GIS spatial data modelling. ...
The potential of the proposed algorithm is investigated using multitemporal multispectral RapidEye satellite imagery at a demonstration field "Borrentin" field in Northeast Germany. ...
Acknowledgements We are grateful to have the chance to complete our research activities in the project area of the Terrestrial Environmental Observatory Northeast (TERENO NE). ...
doi:10.1016/j.compag.2015.01.012
fatcat:hxebkpm4jrgxrpkylmwa3puuwa
CLASSIFICATION AND MODELLING OF URBAN MICRO-CLIMATES USING MULTISENSORAL AND MULTITEMPORAL REMOTE SENSING DATA
2012
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Remote sensing has widely been used in urban climatology since it has the advantage of a simultaneous synoptic view of the full urban surface. ...
Multitemporal thermal data performed very well with up to 96.3 % overall classification accuracy with a neuronal network classifier. ...
For remote sensing data we thank the NASA and Intermap Technologies. Further, we thank H. ...
doi:10.5194/isprsarchives-xxxix-b8-463-2012
fatcat:3unnowvaovgvdmf7nevnrsjqsm
Image Mining in Remote Sensing for Coastal Wetlands Mapping: from Pixel Based to Object Based Approach
2016
IOP Conference Series: Earth and Environment
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The results show that remote sensing image mining can be used to map coastal wetlands ecosystem. Decision Tree C4.5 can be mapped with highest accuracy (0.75 overall kappa). ...
The availably of remote sensing image data is numerous now, and with a large amount of data it makes "knowledge gap" in extraction of selected information, especially coastal wetlands. ...
This paper is part from PhD thesis of the first author entitled "Image Mining in Remote Sensing for Coastal Wetlands Monitoring: an Information-driven framework perspective". ...
doi:10.1088/1755-1315/47/1/012002
fatcat:oyehezvblrburh3ekoqadgs62u
2020 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 13
2020
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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., +, JSTARS 2020
2610-2625
A Novel Water Change Tracking Algorithm for Dynamic Mapping of Inland
Water Using Time-Series Remote Sensing Imagery. ...
., +, JSTARS 2020 3094-3108
Decorrelation
A Modification to Time-Series Coregistration for Sentinel-1 TOPS Data. ...
A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection From Single-Temporal RapidEye Satellite Imagery. Yi, Y., +, JSTARS 2020 ...
doi:10.1109/jstars.2021.3050695
fatcat:ycd5qt66xrgqfewcr6ygsqcl2y
MULTI-RESOLUTION IN REMOTE SENSING FOR AGRICULTURAL MONITORING: A REVIEW
2015
Revista Brasileira de Cartografia
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We present a review of literature on remote sensing spatial and temporal images resolution applied to agriculture purposes. ...
A few main applications with low, medium and high spatial resolution focus were selected for this review, especially in sugarcane and coffee crops, where remote sensing contributions are traditionally ...
new approach has
available to a larger public. ...
doaj:1ddf2ec2496b4bfd825d221449fd7c95
fatcat:73alciija5fbfa6ixg6rsxi6di
Feature Extraction in the North Sinai Desert Using Spaceborne Synthetic Aperture Radar: Potential Archaeological Applications
2016
Remote Sensing
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Over the coastal subset region a time series of PALSAR-2 spotlight data were processed. The coefficient of variation (CoV) of De Grandi filtered imagery clearly revealed anomaly features of low CoV. ...
To obtain a synoptic view over the study area, a mosaic of average, multitemporal (De Grandi) filtered PALSAR-1 σ • backscatter of North Sinai was produced. ...
Author Contributions: Christopher Stewart conceived the research and carried out all remote sensing data processing with the help of Sarmap SA, in particular Paolo Riccardi. ...
doi:10.3390/rs8100825
fatcat:e3q3mxjp3jak3h5dwk453mkjze
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