Comparing feature extraction techniques for urban land‐use classification

Keywords

Dimensionality reduction, Pattern recognition (psychology), Principal component analysis, Computer science, Feature extraction

References

• Self-organized formation of topologically correct feature mapsTeuvo Kohonen — 2004
• Remote sensing, models, and methods for image processingRobert A. Schowengerdt — 1997
• Self-Organizing Feature Extraction in Recognition of Wood Surface Defects and Color ImagesJouko Lampinen, Seppo Smolander — 1996
• Constructing non-orthogonal feature basesHeikki Hyötyniemi — 1996
• Feature Extraction Based on Decision BoundariesC. Lee, D. A. Landgrebe — 1993
• Computer processing of remotely sensed imagesAli Jawad — 2005
• Texture analysis for seabed classification: co-occurrence matrices vs. self-organizing mapsNicolas Pican, Emanuele Trucco, Michigan Ross — 1998
• Self-organized formation of topographically correct feature mapsTeuvo Kohonen — 1982
• IEEE Transactions on Pattern Analysis and Machine Intelligence1978
• Maximum Likelihood Optimization of Self-Organizing Map ParametersTimoT. Kostiainen, J. Lampinen — 2000
• CHAPTER 9 – Thematic ClassificationR. Schowengerdt — 1997

Cited by

• Morphometric and Landscape Feature Analysis with Artificial Neural Networks and SRTM data : Applications in Humid and Arid EnvironmentsAmir Houshang Ehsani — 2008
• Assessment of conservation practices in the Fort Cobb Reservoir watershed, southwestern OklahomaCarol J. Becker — 2011
• Multitemporal Imagery Based Analysis of Urban Land in St. Tammany Parish in Conjunction with Socioeconomic DataJeffrey Joseph Varisco — 2009
• Design, analysis, and inference for studies comparing thematic accuracy of classified remotely sensed data: a special case of map comparisonStephen V. Stehman — 2006
• Urban mapping, accuracy, & image classification: A comparison of multiple approaches in Tsukuba City, JapanRajesh Bahadur Thapa, Yuji Murayama — 2009
• Effect of SRTM resolution on morphometric feature identification using neural network—self organizing mapAmir Houshang Ehsani, Friedrich Quiel, Arash Malekian — 2010
• The application of artificial neural networks to the analysis of remotely sensed dataJean‐François Mas, Juan J. Flores — 2008
• Terrestrial laser scan survey and 3D TIN model construction of urban buildings in a geospatial databaseTao Tang, Wenji Zhao, Huili Gong — 2008
• DEM-based analysis of morphometric features in humid and hyper-arid environments using artificial neural networkAmir Houshang Ehsani, Friedrich Quiel — 2009
• PRODUCING LAND USE LAND COVER USING SATELLITE IMAGE AND IMAGE PROCESSING TECHNIQUES A CASE STUDY OF THE SOMAJIGUDA GHMC WARDMohammed Karemuddin, Shaik Rusthum — 2015
• LAND USE/LAND COVER CHANGE DETECTION IN METROPOLITAN LAGOS (NIGERIA): 1984-2002Matthew O. Adepoju, Andrew Millington, K. T. Tansey — 2006
• Spatial process of urbanization in Kathmandu valley, NepalRajesh Bahadur Thapa — 2009
• Developing Custom ArcGIS Tools to Prepare Data for Solar Potential Analysis using Remote Sensing Data and Image Processing Techniques A Case Study of RajendraNagar Ward, GHMC, HyderabadMohammed Kareemuddin, Shaik Rusthum — 2015
• An evaluation of high-resolution land cover and land use classification accuracy by thematic, spatial, and algorithm parametersAlexander Kirby Smith — 2017
• Feature extraction method based on spectral dimensional edge preservation filtering for hyperspectral image classificationZhijian Li, Qing Zhu, Yaonan Wang — 2019
• Mapping essential urban land use categories (EULUC) using geospatial big data: Progress, challenges, and opportunitiesБин Чэн, Bing Xu, Peng Gong — 2021
• Transfer-Ensemble Learning: A Novel Approach for Mapping Urban Land Use/Cover of the Indian MetropolitansProsenjit Barman, Sheikh Mustak, Monika Kuffer — 2023
• Comprehensive evaluation of classification: an empirical study on consequence prediction of construction accidents in ChinaNing Chen, Zhenyu Zhang, An Chen — 2024
• SOLAR PV OPTIMUM SITE SELECTION USING REMOTE SENSING DATA, GIS AND IMAGE PROCESSING TECHNIQUESMohammed Kareemuddin, Shaik Rusthum — 2016
• Developing Custom ArcGIS Tools to Prepare Data for Solar Potential Analysis using Remote Sensing Data and Image Processing Techniques A Case Study of RajendraNagar Ward, GHMC, HyderabadMohammed Karemuddin, Shaik Rusthum — 2015

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