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1
Satellite Images for Monitoring Mangrove Cover Changes in a Fast Growing Economic Region in Southern Peninsular Malaysia
Satellite Images for Monitoring Mangrove Cover Changes in a Fast Growing Economic Region in Southern Peninsular Malaysia
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Satellite Images for Monitoring Mangrove Cover Changes in a Fast Growing Economic Region in Southern Peninsular Malaysia

Remote sensing (Basel, Switzerland), 2015, Vol.7 (11), p.14360-14385 [Peer Reviewed Journal]

Copyright MDPI AG 2015 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs71114360

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2
Classification of Herbaceous Vegetation Using Airborne Hyperspectral Imagery
Classification of Herbaceous Vegetation Using Airborne Hyperspectral Imagery
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Classification of Herbaceous Vegetation Using Airborne Hyperspectral Imagery

Remote sensing (Basel, Switzerland), 2015-02, Vol.7 (2), p.2046-2066 [Peer Reviewed Journal]

Copyright MDPI AG 2015 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs70202046

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3
Urban Classification from Aerial and Satellite Images
Urban Classification from Aerial and Satellite Images
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Urban Classification from Aerial and Satellite Images

Journal of Applied Engineering Sciences, 2020-12, Vol.10 (2), p.163-172 [Peer Reviewed Journal]

ISSN: 2247-3769 ;EISSN: 2284-7197 ;DOI: 10.2478/jaes-2020-0024

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4
Eye blink characterization from frontal EEG electrodes using source separation and pattern recognition algorithms
Eye blink characterization from frontal EEG electrodes using source separation and pattern recognition algorithms
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Eye blink characterization from frontal EEG electrodes using source separation and pattern recognition algorithms

Biomedical signal processing and control, 2014-11, Vol.14, p.256-264 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1746-8094 ;EISSN: 1746-8108 ;DOI: 10.1016/j.bspc.2014.08.007

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5
Land Cover Change Detection and Subsistence Farming Dynamics in the Fringes of Mount Elgon National Park, Uganda from 1978–2020
Land Cover Change Detection and Subsistence Farming Dynamics in the Fringes of Mount Elgon National Park, Uganda from 1978–2020
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Land Cover Change Detection and Subsistence Farming Dynamics in the Fringes of Mount Elgon National Park, Uganda from 1978–2020

Remote sensing (Basel, Switzerland), 2022-05, Vol.14 (10), p.2423 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14102423

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6
Identification of Abandoned Logging Roads in Point Reyes National Seashore
Identification of Abandoned Logging Roads in Point Reyes National Seashore
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Identification of Abandoned Logging Roads in Point Reyes National Seashore

Remote sensing (Basel, Switzerland), 2023-07, Vol.15 (13), p.3369 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs15133369

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7
Classification of complex environments using pixel level fusion of satellite data
Classification of complex environments using pixel level fusion of satellite data
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Classification of complex environments using pixel level fusion of satellite data

Multimedia tools and applications, 2020-12, Vol.79 (47-48), p.34737-34769 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2020 ;Springer Science+Business Media, LLC, part of Springer Nature 2020. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-020-08978-4

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8
Damage Mapping of Powdery Mildew in Winter Wheat with High-Resolution Satellite Image
Damage Mapping of Powdery Mildew in Winter Wheat with High-Resolution Satellite Image
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Damage Mapping of Powdery Mildew in Winter Wheat with High-Resolution Satellite Image

Remote sensing (Basel, Switzerland), 2014, Vol.6 (5), p.3611-3623 [Peer Reviewed Journal]

Copyright MDPI AG 2014 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs6053611

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9
Prediction of Urban Area Expansion with Implementation of MLC, SAM and SVMs’ Classifiers Incorporating Artificial Neural Network Using Landsat Data
Prediction of Urban Area Expansion with Implementation of MLC, SAM and SVMs’ Classifiers Incorporating Artificial Neural Network Using Landsat Data
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Prediction of Urban Area Expansion with Implementation of MLC, SAM and SVMs’ Classifiers Incorporating Artificial Neural Network Using Landsat Data

ISPRS international journal of geo-information, 2021-08, Vol.10 (8), p.513 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2220-9964 ;EISSN: 2220-9964 ;DOI: 10.3390/ijgi10080513

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10
The Spatial and Temporal Distribution of Mangrove Forest Cover from 1973 to 2020 in Chwaka Bay and Menai Bay, Zanzibar
The Spatial and Temporal Distribution of Mangrove Forest Cover from 1973 to 2020 in Chwaka Bay and Menai Bay, Zanzibar
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The Spatial and Temporal Distribution of Mangrove Forest Cover from 1973 to 2020 in Chwaka Bay and Menai Bay, Zanzibar

Applied sciences, 2023-07, Vol.13 (13), p.7962 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app13137962

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11
Uncertain fault diagnosis problem using neuro-fuzzy approach and probabilistic model for manufacturing systems
Uncertain fault diagnosis problem using neuro-fuzzy approach and probabilistic model for manufacturing systems
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Uncertain fault diagnosis problem using neuro-fuzzy approach and probabilistic model for manufacturing systems

Applied intelligence (Dordrecht, Netherlands), 2018-09, Vol.48 (9), p.3143-3160 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2018 ;Applied Intelligence is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0924-669X ;EISSN: 1573-7497 ;DOI: 10.1007/s10489-017-1132-8

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12
Joint probability-based classifier based on vine copula method for land use classification of multispectral remote sensing data
Joint probability-based classifier based on vine copula method for land use classification of multispectral remote sensing data
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Joint probability-based classifier based on vine copula method for land use classification of multispectral remote sensing data

Earth science informatics, 2020-12, Vol.13 (4), p.1079-1092

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 1865-0473 ;EISSN: 1865-0481 ;DOI: 10.1007/s12145-020-00487-0

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13
CHARACTERISTICS OF THE DEGREE OF GRADE IN GRADE-ADDED ROUGH SET FOR LAND COVER CLASSIFICATION
CHARACTERISTICS OF THE DEGREE OF GRADE IN GRADE-ADDED ROUGH SET FOR LAND COVER CLASSIFICATION
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Conference Proceeding 		Add to My Research

CHARACTERISTICS OF THE DEGREE OF GRADE IN GRADE-ADDED ROUGH SET FOR LAND COVER CLASSIFICATION

International archives of the photogrammetry, remote sensing and spatial information sciences., 2019, Vol.XLII-3/W7, p.19-24 [Peer Reviewed Journal]

2019. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2194-9034 ;ISSN: 1682-1750 ;EISSN: 2194-9034 ;DOI: 10.5194/isprs-archives-XLII-3-W7-19-2019

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14
CLASS-BASED AFFINITY PROPAGATION FOR HYPERSPECTRAL IMAGE DIMENSIONALITY REDUCTION AND IMPROVEMENT OF MAXIMUM LIKELIHOOD CLASSIFICATION ACCURACY
CLASS-BASED AFFINITY PROPAGATION FOR HYPERSPECTRAL IMAGE DIMENSIONALITY REDUCTION AND IMPROVEMENT OF MAXIMUM LIKELIHOOD CLASSIFICATION ACCURACY
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CLASS-BASED AFFINITY PROPAGATION FOR HYPERSPECTRAL IMAGE DIMENSIONALITY REDUCTION AND IMPROVEMENT OF MAXIMUM LIKELIHOOD CLASSIFICATION ACCURACY

Boletim de Ciências Geodésicas, 2019, Vol.25 (1) [Peer Reviewed Journal]

This work is licensed under a Creative Commons Attribution 4.0 International License. ;ISSN: 1982-2170 ;DOI: 10.1590/s1982-21702019000100004

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15
Identification of selected internal wood characteristics in computed tomography images of black spruce [Picea mariana]: A comparison study
Identification of selected internal wood characteristics in computed tomography images of black spruce [Picea mariana]: A comparison study
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Identification of selected internal wood characteristics in computed tomography images of black spruce [Picea mariana]: A comparison study

Journal of wood science, 2009-06, Vol.55 (3), p.175-180 [Peer Reviewed Journal]

The Japan Wood Research Society 2009 ;Journal of Wood Science is a copyright of Springer, (2009). All Rights Reserved. ;ISSN: 1435-0211 ;EISSN: 1611-4663 ;DOI: 10.1007/s10086-008-1013-1

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16
Practical Analog Circuit Diagnosis Based on Fault Features with Minimum Ambiguities
Practical Analog Circuit Diagnosis Based on Fault Features with Minimum Ambiguities
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Practical Analog Circuit Diagnosis Based on Fault Features with Minimum Ambiguities

Journal of electronic testing, 2016-02, Vol.32 (1), p.83-95 [Peer Reviewed Journal]

Springer Science+Business Media New York 2016 ;ISSN: 0923-8174 ;EISSN: 1573-0727 ;DOI: 10.1007/s10836-015-5561-1

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17
AIRBORNE HYPERSPECTRAL REMOTE SENSING FOR IDENTIFICATION GRASSLAND VEGETATION
AIRBORNE HYPERSPECTRAL REMOTE SENSING FOR IDENTIFICATION GRASSLAND VEGETATION
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Conference Proceeding 		Add to My Research

AIRBORNE HYPERSPECTRAL REMOTE SENSING FOR IDENTIFICATION GRASSLAND VEGETATION

International archives of the photogrammetry, remote sensing and spatial information sciences., 2015, Vol.XL-3/W3 (3), p.427-431 [Peer Reviewed Journal]

Copyright Copernicus GmbH 2015 ;ISSN: 2194-9034 ;ISSN: 1682-1750 ;EISSN: 2194-9034 ;DOI: 10.5194/isprsarchives-XL-3-W3-427-2015

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18
Comparison of the Different Classifiers in Vegetation Species Discrimination Using Hyperspectral Reflectance Data
Comparison of the Different Classifiers in Vegetation Species Discrimination Using Hyperspectral Reflectance Data
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Comparison of the Different Classifiers in Vegetation Species Discrimination Using Hyperspectral Reflectance Data

Journal of the Indian Society of Remote Sensing, 2014-03, Vol.42 (1), p.61-72 [Peer Reviewed Journal]

Indian Society of Remote Sensing 2013 ;ISSN: 0255-660X ;EISSN: 0974-3006 ;DOI: 10.1007/s12524-013-0309-9

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19
Identification of selected log characteristics from computed tomography images of sugar maple logs using maximum likelihood classifier and textural analysis
Identification of selected log characteristics from computed tomography images of sugar maple logs using maximum likelihood classifier and textural analysis
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Identification of selected log characteristics from computed tomography images of sugar maple logs using maximum likelihood classifier and textural analysis

Holzforschung, 2008-07, Vol.62 (4), p.441-447 [Peer Reviewed Journal]

ISSN: 0018-3830 ;EISSN: 1437-434X ;DOI: 10.1515/HF.2008.077

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20
Crop classification using biologically-inspired techniques with high resolution satellite image
Crop classification using biologically-inspired techniques with high resolution satellite image
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Crop classification using biologically-inspired techniques with high resolution satellite image

Journal of the Indian Society of Remote Sensing, 2008-06, Vol.36 (2), p.175-182 [Peer Reviewed Journal]

Indian Society of Remote Sensing 2008 ;ISSN: 0255-660X ;EISSN: 0974-3006 ;DOI: 10.1007/s12524-008-0018-y

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