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Road Detection from Remote Sensing Images using Impervious Surface Characteristics: Review and Implication

P. P. Singh, R. D. Garg
2014 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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

Karol Bot, José G. Borges
2022 Inventions  
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

Yasumasa Hirata, Naoyuki Furuya, Hideki Saito, Chealy Pak, Chivin Leng, Heng Sokh, Vuthy Ma, Tsuyoshi Kajisa, Tetsuji Ota, Nobuya Mizoue
2018 Remote Sensing  
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

Yang HongLei, Peng JunHuan, Xia BaiRu, Zhang DingXuan
2013 European Journal of Remote Sensing  
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

Adane Mezgebu, Getachew Workineh
2017 Ecological Processes  
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

Ronald E. McRoberts, Warren B. Cohen, Erik Næsset, Stephen V. Stehman, Erkki O. Tomppo
2010 Scandinavian Journal of Forest Research  
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  
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]

Ping Lang, Xiongjun Fu, Marco Martorella, Jian Dong, Rui Qin, Xianpeng Meng, Min Xie
2020 arXiv   pre-print
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

Proceedings of SPIE
2011 International Conference on Graphic and Image Processing (ICGIP 2011)  
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

John E. Lundquist, Robin M. Reich
2014 Forest Science  
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

Dhruva Teja Jangam
2013 IOSR Journal of Electronics and Communication Engineering  
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

Mihai Nadin
2012 International Journal of General Systems  
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]

Angelos K. Tzotsos, National Technological University Of Athens, National Technological University Of Athens, Δημήτριος Αργιαλάς
, 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

Roberto Henriques, Fernando Bacao, Victor Lobo
2010 2010 Second International Conference on Advanced Geographic Information Systems, Applications, and Services  
"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

Lorraine Campbell
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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