Advances in Remote Sensing

Advances in Remote Sensing

ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org
"A Comprehensive Evaluation of PAN-Sharpening Algorithms Coupled with Resampling Methods for Image Synthesis of Very High Resolution Remotely Sensed Satellite Data"
written by Shridhar D. Jawak, Alvarinho J. Luis,
published by Advances in Remote Sensing, Vol.2 No.4, 2013
has been cited by the following article(s):
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[9] Image Pan-Sharpening and Sub-pixel Classification Enabled Building Detection in Strategically Challenged Forest Neighborhood Environment
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[10] Fusión de imágenes satelitales usando la trasformada de Brovey y enriquecimiento espectral sobre computación heterogénea CPU/GPU
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[11] Exploring the use of neural networks for object instance detection below the pixel resolution level
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[12] Estimation of Landslides and Road Capacity after August 8, 2017, MS7. 0 Jiuzhaigou Earthquake Using High-Resolution Remote Sensing Images
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[14] GORS 15 (1) 2020 Land use cover mapping of Wadi Kaerbet Mleeha (Hasakeh) using Remote Sensing and GIS
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[15] LAND USE/COVER CHANGE IN DINEVAR RURAL AREA OF WEST IRAN DURING 2000-2018 AND ITS PREDICTION FOR 2024 AND 2030
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[16] fusionImage: An R package for pan‐sharpening images in open source software
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[17] Quality Assessment by Region and Land Cover of Sharpening Approaches Applied to GF-2 Imagery
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[18] Effect of Image Fusion on Vegetation Index Quality—A Comparative Study from Gaofen-1, Gaofen-2, Gaofen-4, Landsat-8 OLI and MODIS Imagery
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[19] Olive Tree Classification and Inventory with Medium Resolution Multi-spectral Satellite Imagery
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[21] Land use/cover change in Dinevar rural area of West Iran during 2000–2018 and its prediction for 2024 and 2030
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[22] Potential Evaluation of SMA and NSMA Methods Implementation to Extract Sub-pixel Impervious Surfaces from Landsat 8 Imagery (OLI),(Case Study: Sari)
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[26] Image Fusion of SAR and Optical Images for Identifying Antarctic Ice Features
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[27] Geospatial Assessment of Flood Hazard Along the Tamil Nadu Coast
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[29] Sentinel-2 Pan Sharpening—Comparative Analysis
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[32] Алгоритм построения цифровой модели поверхности по данным космической стереосъемки
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[33] Effect of Pansharpening on Built-up Index NDBI Using Landsat 8 Satelitte Imagery in Pontianak City
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[36] Pengaruh Pansharpening Terhadap Indeks Lahan Terbangun NDBI Menggunakan Citra Satelit Landsat 8 di Kota Pontianak Effect of Pansharpening On Built-up Index NDBI Using Landsat 8 Satelitte Imagery In Pontianak City
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[39] Multispectral Satellite Image Processing
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[41] Mapping Rice Fields in Urban Shanghai, Southeast China, Using Sentinel-1A and Landsat 8 Datasets
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[43] Fonksiyonel Ağaçlar ile Obje-Tabanlı Sınıflandırma: WorldView-2 Uydu Görüntüsü Örneği
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[45] EVALUATION OF SPOT-5 IMAGE FUSION USING MODIFIED PAN-SHARPENING METHODS
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[47] Merging SAR and Egyptsat Images for Improvement Roads Network Extraction
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[48] Agricultural fields classification in semi-arid central Tunisia using SPOT 7 image
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[50] Geospatial mapping of vegetation in the Antarctic environment using very high-resolution WorldView-2 imagery
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[51] Application of high-resolution multispectral data for mapping blue ice areas in the Antarctic environment
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[52] Groundwater response to the 2014 pulse flow in the Colorado River Delta
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[53] Comprehensive evaluation for fused images of multispectral and panchromatic images based on entropy weight method
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[54] A history of the 2014 Minute 319 environmental pulse flow as documented by field measurements and satellite imagery
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[55] Assessing the structure of primeval and managed beech forests in the Ukrainian Carpathians using remote sensing
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[56] Semi-automatic extraction of supra-glacial features using fuzzy logic approach for object-oriented classification on WorldView-2 imagery
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[57] Multisource classification and pattern recognition methods for polar geospatial information extraction using WorldView-2 data
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[58] Geospatial mapping of Antarctic coastal oasis using geographic object-based image analysis and high resolution satellite imagery
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[59] Exploratory normalized difference water indices for semi-automated extraction of Antarctic lake features
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[60] Very High Resolution Optical Satellites: An Overview of the Most Commonly used
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[61] Object-oriented feature extraction approach for mapping supraglacial debris in Schirmacher Oasis using very high-resolution satellite data
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[62] A Modified and Enhanced Normalized built-up Index using Multispectral and Thermal Bands
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[63] Impact analysis of pansharpening Landsat ETM+, Landsat OLI, WorldView-2, and Ikonos images on vegetation indices
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[76] Iterative spectral index ratio exploration for object-based image analysis of Antarctic coastal oasis using high resolution satellite remote sensing data
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