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Reducing the Complexity of Genetic Fuzzy Classifiers in Highly-Dimensional Classification Problems
2012
International Journal of Computational Intelligence Systems
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This paper introduces the Fast Iterative Rule-based Linguistic Classifier (FaIRLiC), a Genetic Fuzzy Rule-Based Classification System (GFRBCS) which targets at reducing the structural complexity of the ...
and compact fuzzy rule-based classifiers, even for very high-dimensional feature spaces. ...
Particularly, in land cover classification of forests, where typically different species of the same genus coexist, it has been shown that hyperspectral satellite imagery can significantly increase the ...
doi:10.1080/18756891.2012.685290
fatcat:d4rcvwjw3vh6blavulq5o33zfq
Support vector machines in remote sensing: A review
2011
ISPRS journal of photogrammetry and remote sensing (Print)
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A wide range of methods for analysis of airborne-and satellite-derived imagery continues to be proposed and assessed. ...
A summary of empirical results is provided for various applications of over one hundred published works (as of April, 2010). ...
Ghoggali and Melgani (2008) integrated genetic training into SVM classification in order to incorporate land cover transition rules in multitemporal classification. ...
doi:10.1016/j.isprsjprs.2010.11.001
fatcat:6hx57jxaxvfxvjoqqmhk5puhty
Decision Fusion Based on Hyperspectral and Multispectral Satellite Imagery for Accurate Forest Species Mapping
2014
Remote Sensing
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Initially, two fuzzy classifications are conducted, one for each satellite image, using a fuzzy output support vector machine (SVM). ...
This study investigates the effectiveness of combining multispectral very high resolution (VHR) and hyperspectral satellite imagery through a decision fusion approach, for accurate forest species mapping ...
The EO-1 Hyperion data used were available at no cost from the US Geological Survey. ...
doi:10.3390/rs6086897
fatcat:xsjbrwlowva6hlelp65hcre5ee
Remote sensing imagery in vegetation mapping: a review
2008
Journal of Plant Ecology
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Generally, it needs to develop a vegetation classification at first for classifying and mapping vegetation cover from remote sensed images either at a community level or species level. ...
This paper presents an overview of how to use remote sensing imagery to classify and map vegetation cover. ...
A fuzzy classification approach is usually useful in mixed-class areas and was investigated for the classification of suburban land cover from remote sensing imagery (Zhang and Foody 1998) , the study ...
doi:10.1093/jpe/rtm005
fatcat:z22ciuewtzctbdv34w5j5axpye
Spatial data mining on remote sensing perspective
2016
International Journal of Latest Trends in Engineering and Technology
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For detecting land cover change by analyzing the Landsat imagery over a period of 1986 and 2001, J.R. Otukei and T. ...
Hongtau Hu and Yifang Ban (2008) classified the urban land-cover and detected the changes in land-cover over a period of 1988 to 2002 in the urban area of Beiging, China, using neural networks and rule ...
doi:10.21172/1.74.036
fatcat:mdrfpf5gefg7lojxpmknvcloym
Application of soft computing techniques in coastal study – A review
2016
Journal of Ocean Engineering and Science
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Those maps can serve as a base for planning management activities. ...
Soft computing techniques like Fuzzy Logic, Artificial Neural Network, Genetic Algorithm and Support Vector Machine are upcoming soft computing algorithms that find its application in classification, regression ...
Genetic Algorithm (GA) which depicts the natural evolution can be used for optimizing the fuzzy rules which in turn provides good classification result [81] . ...
doi:10.1016/j.joes.2016.06.004
fatcat:557fox4a4vdglbcpggdxnlyrsa
A Multiple SVM System for Classification of Hyperspectral Remote Sensing Data
2013
Journal of the Indian Society of Remote Sensing
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This paper presents a new method for classification of hyperspectral data based on a band clustering strategy through a multiple Support Vector Machine system. ...
Because of these complexities of hyperspectral data, traditional classification strategies have often limited performance in classification of hyperspectral imagery. ...
Discussion and Conclusion In this paper, the performance of a SVM based multiple classifier system for classification of hyperspectral imageries is assessed. ...
doi:10.1007/s12524-013-0286-z
fatcat:xlbisnt5wjdanpjye4asmbkp4a
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 914-927 Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers. ...
., +, JSTARS 2020 4973-4987 Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers. ...
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
A Survey of Various Algorithms Used on Multispectral Satellite Image Classification of Alwar Image Dataset
2016
Indian Journal of Science and Technology
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The data is classified into classes of major land-use types. ...
Findings: The study has taken into account various strategies used by different researchers to produce the best classification accuracies for classifying a satellite image dataset. ...
Genetic search process extracts 15 land-cover
classification rules for classification.
Per-Pixel
Classification
Dataset 1 -98.7%.
Dataset 2 -73.3%. ...
doi:10.17485/ijst/2016/v9i45/105304
fatcat:bpv7getqejbvzgml5yom5awuya
2012 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 50
2012
IEEE Transactions on Geoscience and Remote Sensing
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., +, TGRS Jan. 2012 149-169 Fuzzy systems A Genetic Fuzzy-Rule-Based Classifier for Land Cover Classification From Hyperspectral Imagery. Stavrakoudis, D. ...
., +, TGRS June 2012 2287-
2302
A Genetic Fuzzy-Rule-Based Classifier for Land Cover Classification From
Hyperspectral Imagery. Stavrakoudis, D. ...
Radar resolution A Novel Method for Imaging of Group Targets Moving in a Formation. Bai, X., +, TGRS Jan. 2012 ...
doi:10.1109/tgrs.2012.2229656
fatcat:hjrotpfsqzhxlnnme27ftv33cu
A New Feature Selection Method for Hyperspectral Image Classification Based on Simulated Annealing Genetic Algorithm and Choquet Fuzzy Integral
2013
Mathematical Problems in Engineering
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This paper proposes a hybrid feature selection strategy based on the simulated annealing genetic algorithm (SAGA) and the Choquet fuzzy integral (CFI). ...
Rich spectral information from hyperspectral images can aid in the classification and recognition of the ground objects. ...
A semisupervised method for addressing a domain adaptation problem based on multiple-kernel SVMs in the classification of hyperspectral data was presented in [6] . ...
doi:10.1155/2013/537268
fatcat:2vyckuid5zernmt533qwolmdmq
Table of Contents
2020
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Homayouni 6308 Processing, Sensors, and System for: Hyperspectral Data Nonlinear Endmember Identification for Hyperspectral Imagery via Hyperpath-Based Simplex Growing and Fuzzy Assessment . . . . . . ...
A. van Aardt 1761 A Physical-Based Algorithm for Retrieving Land Surface Temperature From Moon-Based Earth Observation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Delp 5872 A Framework for Land Use Scenes Classification Based on Landscape Photos . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/jstars.2020.3046663
fatcat:zqzyhnzacjfdjeejvzokfy4qze
Front Matter: Volume 9808
2015
International Conference on Intelligent Earth Observing and Applications 2015
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using a Base 36 numbering system employing both numerals and letters. ...
Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model. ...
-507]
9808 2O
Experimental study on multi-sub-classifier for land cover classification: a case study in
Shangri-La, China [9808-273]
vii
Proc. of SPIE Vol. 9808 980801-7
The application of ...
doi:10.1117/12.2229161
fatcat:oh2qm3ogkvaddlh3llvltqps54
Attraction-Repulsion Model-Based Subpixel Mapping of Multi-/Hyperspectral Imagery
2013
IEEE Transactions on Geoscience and Remote Sensing
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This paper presents a new subpixel mapping method based on subpixel attraction-repulsion. ...
The proposed method is formulated as an optimization problem with respect to attractionrepulsion among subpixels and is used to reconstruct a finer spatial resolution image from a lower resolution one. ...
Zhang was a visiting student at Purdue University under the support of China Scholarship Council Scholarship between 2009 and 2010. ...
doi:10.1109/tgrs.2012.2218612
fatcat:gm2hr6ofzve7reb7tn2ajijymq
COMBINATION OF GENETIC ALGORITHM AND DEMPSTER-SHAFER THEORY OF EVIDENCE FOR LAND COVER CLASSIFICATION USING INTEGRATION OF SAR AND OPTICAL SATELLITE IMAGERY
2012
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The integration of different kinds of remotely sensed data, in particular Synthetic Aperture Radar (SAR) and optical satellite imagery, is considered a promising approach for land cover classification ...
proposed and evaluated for classifying land cover features in New South Wales, Australia. ...
Foody et al. (2007) integrated five classifiers based on majority voting rule for mapping fenland East Anglia, UK. ...
doi:10.5194/isprsarchives-xxxix-b7-173-2012
fatcat:xbcnyojdrfh7pfpp5ddhwpb3pa
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