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Road Detection from Remote Sensing Images using Impervious Surface Characteristics: Review and Implication
2014
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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To achieve a better level of accuracy, numerous factors play their important role, such as spectral data of satellite sensor and the information related to land surface area. ...
The extraction of road network is an emerging area in information extraction from high-resolution satellite images (HRSI). ...
Deptt. and Institute Computer Center, IIT Roorkee for support to carry out the work. ...
doi:10.5194/isprsarchives-xl-8-955-2014
fatcat:7ii6ijrvhfg5fi7j4j2la2xcua
A Systematic Review of Applications of Machine Learning Techniques for Wildfire Management Decision Support
2022
Inventions
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The emphasis is on providing a summary of these applications with a classification according to the case study type, machine learning method, case study location, and performance metrics. ...
In this context, this paper aims at providing a review of recent applications of machine learning methods for wildfire management decision support. ...
Fire danger maps are studied in [63] , but from an approach of evaluation of a land cover map and information from previous fire-affected areas, among other features. ...
doi:10.3390/inventions7010015
fatcat:cce4w6uuv5gwlk4ladocmw6cvu
Object-Based Mapping of Aboveground Biomass in Tropical Forests Using LiDAR and Very-High-Spatial-Resolution Satellite Data
2018
Remote Sensing
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Then, we performed object-based classification using the satellite data (overall accuracy = 77.0%, versus 92.9% for distinguishing forest from non-forest land). ...
/ha), and calculated reflectance values in each band of the satellite data for the analyzed objects. ...
We thank the staff of the Forestry Administration in Cambodia for their valuable assistance during the field surveys. ...
doi:10.3390/rs10030438
fatcat:4ek5fzfzlffupadfwsh4slzlkm
Remote Sensing Classification Using Fuzzy C-means Clustering with Spatial Constraints Based on Markov Random Field
2013
European Journal of Remote Sensing
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This paper proposes a new clustering algorithm which integrates Fuzzy C-means clustering with Markov random field (FCM). ...
The density function of the first principal component which sufficiently reflects the class differences and is applied in determining of initial labels for FCM algorithm. ...
Maricopa Study Area In order to assess classification accuracy of the proposed method, the real-world data set was used in the experiment that acquired by the QuickBird satellite imagery. ...
doi:10.5721/eujrs20134617
fatcat:4noyqe4bk5cfzov3ensixcxyki
Changes and drivers of afro-alpine forest ecosystem: future trajectories and management strategies in Bale eco-region, Ethiopia
2017
Ecological Processes
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Methods: The study utilized satellite imagery from Landsat series starting from 1986 to 2016, ground truth data from GPS-based field survey, focus group discussions, and reconnaissance field survey. ...
Historical landscape maps were prepared with a mix of supervised and unsupervised image classification methods. ...
Menfese Tadesse for their unreserved comments during the study period. We are thankful for Mr. Baymot (TEAFL) for proof reading of manuscript. ...
doi:10.1186/s13717-017-0108-2
fatcat:lsprbl2vcjannkygxcmjyg4epa
Using remotely sensed data to construct and assess forest attribute maps and related spatial products
2010
Scandinavian Journal of Forest Research
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This review focuses on the current state of techniques for the construction and assessment of remote sensing-based maps and addresses five topic areas: statistical classification and prediction techniques ...
Multiple general conclusions were drawn from the review: (1) remotely sensed data greatly contribute to the construction of forest attribute maps and related spatial products and to the reduction of inventory ...
Logistic regression is a third approach for predicting the classes of a categorical variable from the spectral values of satellite imagery. ...
doi:10.1080/02827581.2010.497496
fatcat:gguior2czvelvafko5vjbo7aqe
Thiessen Polygons
[chapter]
2017
Encyclopedia of GIS
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The hierarchical approach is a particular type of multistage classifier where a class label at an intermediate stage can be rejected. ...
satellite imagery. ...
For example, the suburb of Newtown can be considered as a reference for the most efficient suburb in terms of average utilized hours per car. ...
doi:10.1007/978-3-319-17885-1_101387
fatcat:gzp2stwscbcf7eupd3h6eztjri
A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing
[article]
2020
arXiv
pre-print
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Traditional radar signal processing (RSP) methods have shown some limitations when meeting such requirements, particularly in matters of target classification. ...
This paper then concludes with a series of open questions and proposed research directions, in order to indicate current gaps and potential future solutions and trends. ...
performance levels for SAR land use/cover classification. ...
arXiv:2009.13702v1
fatcat:m6am73324zdwba736sn3vmph3i
Front Matter: Volume 8285
2011
International Conference on Graphic and Image Processing (ICGIP 2011)
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Publication of record for individual papers is online in the SPIE Digital Library. ...
SPIE uses a six-digit CID article numbering system in which: The first four digits correspond to the SPIE volume number. ...
(China) 8285 5Q Research of web text fuzzy classification algorithm based on fuzzy comprehensive weighted evaluation reasoning [8285-149] D. Li, X. Dai, Hunan Agricultural Univ. ...
doi:10.1117/12.915884
fatcat:i3zzb77cqndcpo7i2wjvl2nfta
Landscape Dynamics of Mountain Pine Beetles
2014
Forest Science
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New concepts and tools are emerging that have been adapted from landscape ecology and spatial statistics. Categorical map analysis has been widely used to quantify infested landscapes. ...
In studies of MPB infestations using satellite imagery, classification accuracy was around 70% using 30 m Landsat pixel ) and around 90% with 2.4 m resolution of Quickbird (Hicke and Logan 2009 ). ...
Dillman and White (1982) , for example, compared impact estimates from multistage panoramic images with routine aerial sketch mapping in ponderosa pine infested with MPB along the Front Range of Colorado ...
doi:10.5849/forsci.13-064
fatcat:sio44pljljcmxn53zir7hxudny
Mm Waves Role in Satellite Communication
2013
IOSR Journal of Electronics and Communication Engineering
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Millimeter Wave satellite communications are discussed with only modest site separation and switched diversity .Various aspects of MM Wave communication link at 35 GHz ,60 GHz and 94 Ghz frequencies for ...
satellite applications are discussed in the paper. ...
Acknowledgement I Wish to thank BSNL Rttc , Mysore staff for giving me a basic start on satellite communication and I acknowledges the support extended by Mr. .T. Ravi my collage guide. ...
doi:10.9790/2834-0440104
fatcat:jbgltpwqhzedjdpbsa5tdj7ds4
The anticipatory profile. An attempt to describe anticipation as process
2012
International Journal of General Systems
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The example of how the ordinary landscape of rural Ohio can be seen from an airplane or from a satellite as a Mondrian painting. ...
Details on possibility theory (triggered by Zadeh's 1978 seminal Fuzzy Sets as the Basis for a Theory of Possibility) would be out of place here. ...
doi:10.1080/03081079.2011.622093
fatcat:ofwwkirfzvay3kfo2u233csfpu
Investigation of Image Segmentation, Machine Learning and Knowledge-based Expert System Methods in Remote Sensing
[article]
2015
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, in the seventh contribution of this research, a multimodal object-based image classification approach was developed and evaluated. ...
The sixth contribution of this research involved the implementation of an object-based image classification method, incorporating the Relevance Vector Machine framework for image object classification.Finally ...
Acknowledgements I would like to thank my advisor, Professor Demetre Argialas for his guidance through the years and for his insightful comments and review of this manuscript. ...
doi:10.26240/heal.ntua.1644
fatcat:xkmajws4ezflppi53imcstpobm
Spatial Clustering with SOM and GeoSOM: Case Study of Lisbon's Metropolitan Area
2010
2010 Second International Conference on Advanced Geographic Information Systems, Applications, and Services
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"Subpixel analysis of landsat ETM+ using self-
organizing map (SOM) neural networks for urban land cover characterization." ...
Yun and Uchimura (2007) propose a semi-automatic method for road network extraction
from high-resolution satellite images. ...
doi:10.1109/geoprocessing.2010.30
fatcat:d6es6triyjgarp3smlmbibvsra
Assessing the utility of Airborne Laser Scanning for Terrestrial Ecosystem Mapping
2017
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It established a workflow for the classification of site series within the study site and examined the capacity to map site series based on ALS derived values. ...
Based on a detailed literature review, a site-specific case study was also developed with the goal of mapping TEM polygons for a forested landscape on Vancouver Island, British Columbia. ...
Yang et al. (2014) combined satellite multispectral imagery (RapidEye) and ALS data for species identification within the Canadian boreal forest. ...
doi:10.14288/1.0349135
fatcat:et3wz6vl3jeu7poevvexgylnqi
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