Evaluating Distribution Trends of Classification Accuracy by Triangular Training Operator in SAR/VIR FCC : A Case Study of Songkhla Lake Basin in Thailand |
Jung Sup Um (Department of Geography, Kyungpook National University) |
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Complementary nature of SAR and optical data: a case study in the tropics
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Visual versus digital analysis for vegetation mapping: some examples in central Spain
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DOI |
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Land cover discrimination from multi-temporal ERS images and multi-spectral Landsat images: a study case in an agricultrual area in France
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DOI ScienceOn |
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Multispectral satellite image and ancillary data integration for geological calssification
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The integration of optical and radar data to characterize mineralogy and morphology of surfaces in Death Valley
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DOI |
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The study of ERS-1 SAR and Landsat TM synergism for land use classification
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DOI ScienceOn |
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Registration of images with geometric distortions
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DOI ScienceOn |
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A comparison of the potential for using optical and SAR data for geological mapping in an arid region: the Atar site
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DOI |
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Accuracy assessment of a land-cover map of the Kuparuk river basin, Alaska: considerations for remote regions
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Assumptions implicit in remote sensing data acquisition and analysis
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DOI |
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Investigation for setting a conceptual organization framework of the geo-information system for Songkhla basin development management
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Visible-infrared and radar imagery fusion for geological application: a new approach useing DEM and sun-illumination model
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Airborne and spaceborne synthetic aperture radar (SAR) integration with Landsat TM and gamma ray spectrometry for geological mapping in a tropical rainforest envirnment
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DOI |
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Application of DEM data to Landsat image classification: evaluation in a tropical wet-dry landscape of Thailand
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DEM corrected ERS-1 SAR data for snow monitoring
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DOI |
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Radar and optical data integration for land-use/land-cover mapping
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The accuracy of selected land use and land cover maps at scales of 1:250,000 and 1:100.000
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A generalized confusion matrix for assessing area estimates from remotely sensed data
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DOI ScienceOn |
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The influence of geographic sampling methods on vegetation map accuracy evaluation in a swampy environment
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Multisource ERS-1 and optical data for vegetal cover assessment and monitoring in a semi-arid region of Algeria
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DOI |
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A review of assessing the accuracy of classifications of remotely sensed Data
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DOI ScienceOn |