Works matching AU Liangpei Zhang
Results: 114
SGD-SM: Generating Seamless Global Daily AMSR2 Soil Moisture Long-term Productions (2013-2019).
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- Earth System Science Data Discussions, 2020, p. 1, doi. 10.5194/essd-2020-353
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Seamless mapping of long-term (2010–2020) daily global XCO2 and XCH4 from the Greenhouse Gases Observing Satellite (GOSAT), Orbiting Carbon Observatory 2 (OCO-2), and CAMS global greenhouse gas reanalysis (CAMS-EGG4) with a spatiotemporally self-supervised fusion method
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- Earth System Science Data, 2023, v. 15, n. 8, p. 3597, doi. 10.5194/essd-15-3597-2023
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Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019.
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- Earth System Science Data, 2021, v. 13, n. 3, p. 1385, doi. 10.5194/essd-13-1385-2021
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- Article
A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video.
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- EURASIP Journal on Advances in Signal Processing, 2007, p. 1, doi. 10.1155/2007/74585
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Remote sensing image super-resolution via cross-scale hierarchical transformer.
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- Geo-Spatial Information Science, 2024, v. 27, n. 6, p. 1914, doi. 10.1080/10095020.2023.2288179
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Advances in spaceborne hyperspectral remote sensing in China.
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- Geo-Spatial Information Science, 2021, v. 24, n. 1, p. 95, doi. 10.1080/10095020.2020.1860653
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Review on graph learning for dimensionality reduction of hyperspectral image.
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- Geo-Spatial Information Science, 2020, v. 23, n. 1, p. 98, doi. 10.1080/10095020.2020.1720529
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A survey on vision-based UAV navigation.
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- Geo-Spatial Information Science, 2018, v. 21, n. 1, p. 21, doi. 10.1080/10095020.2017.1420509
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REAL-TIME AND SEAMLESS MONITORING OF GROUND-LEVEL PM<sub>2.5</sub> USING SATELLITE REMOTE SENSING.
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- ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2018, v. 4, n. 3, p. 143, doi. 10.5194/isprs-annals-IV-3-143-2018
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SPATIAL-SPECTRAL CLASSIFICATION BASED ON THE UNSUPERVISED CONVOLUTIONAL SPARSE AUTO-ENCODER FOR HYPERSPECTRAL REMOTE SENSING IMAGERY.
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- ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2016, v. 3, n. 7, p. 25, doi. 10.5194/isprsannals-III-7-25-2016
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A NOVEL REMOVAL METHOD FOR DENSE STRIPES IN REMOTE SENSING IMAGES.
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- ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2016, v. 3, n. 6, p. 57, doi. 10.5194/isprsannals-III-6-57-2016
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IMAGE STITCHING WITH PERSPECTIVE-PRESERVING WARPING.
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- ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2016, v. 3, n. 3, p. 287, doi. 10.5194/isprsannals-III-3-287-2016
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- Article
Super-resolution land-cover mapping based on the selective endmember spectral mixture model in hyperspectral imagery.
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- Optical Engineering, 2011, v. 50, n. 12, p. 1, doi. 10.1117/1.3660527
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Region-based adaptive anisotropic diffusion for image enhancement and denoising.
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- Optical Engineering, 2010, v. 49, n. 11, p. 117007, doi. 10.1117/1.3517741
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Image restoration and enhancement based on tunable forward-and-backward diffusion.
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- Optical Engineering, 2010, v. 49, n. 5, p. 057004, doi. 10.1117/1.3431657
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Super-Resolution Reconstruction Algorithm To MODIS Remote Sensing Images.
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- Computer Journal, 2009, v. 52, n. 1, p. 90
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Estimating Regional Ground‐Level PM<sub>2.5</sub> Directly From Satellite Top‐Of‐Atmosphere Reflectance Using Deep Belief Networks.
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- Journal of Geophysical Research. Atmospheres, 2018, v. 123, n. 24, p. 13,875, doi. 10.1029/2018JD028759
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Spatially continuous mapping of daily global ozone distribution (2004-2014) with the Aura OMI sensor.
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- Journal of Geophysical Research. Atmospheres, 2016, v. 121, n. 21, p. 12,702, doi. 10.1002/2016JD025013
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Mechanism-learning coupling paradigms for parameter inversion and simulation in earth surface systems.
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- SCIENCE CHINA Earth Sciences, 2023, v. 66, n. 3, p. 568, doi. 10.1007/s11430-022-9999-9
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Current issues in high-resolution earth observation technology.
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- SCIENCE CHINA Earth Sciences, 2012, v. 55, n. 7, p. 1043, doi. 10.1007/s11430-012-4445-9
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The recent developments in spatio-temporally continuous snow cover product generation.
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- Hydrology & Earth System Sciences Discussions, 2019, p. 1, doi. 10.5194/hess-2018-633
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The recent developments in cloud removal approaches of MODIS snow cover product.
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- Hydrology & Earth System Sciences, 2019, v. 23, n. 5, p. 2401, doi. 10.5194/hess-23-2401-2019
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Classification of Very High Spatial Resolution Imagery Based on the Fusion of Edge and Multispectral Information.
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- Photogrammetric Engineering & Remote Sensing, 2008, p. 1585, doi. 10.14358/pers.74.12.1585
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Classification of Very High Spatial Resolution Imagery Based on the Fusion of Edge and Multispectral Information.
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- Photogrammetric Engineering & Remote Sensing, 2008, v. 74, n. 12, p. 1585, doi. 10.14358/PERS.74.12.1585
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Web-based Geological Hazard Monitoring in the Three Gorges Area of China.
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- Photogrammetric Engineering & Remote Sensing, 2007, v. 73, n. 6, p. 709, doi. 10.14358/PERS.73.6.709
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Attapulgite: a promising natural mineral as carrier material for fatty acids phase change material.
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- Journal of Thermal Analysis & Calorimetry, 2022, v. 147, n. 13, p. 7203, doi. 10.1007/s10973-021-11046-0
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Continuously Tunable Wettability by Using Surface Patterned Shape Memory Polymers with Giant Deformability.
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- Small, 2016, v. 12, n. 24, p. 3327, doi. 10.1002/smll.201600092
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An efficient multi-resolution variational Retinex scheme for the radiometric correction of airborne remote sensing images.
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- International Journal of Remote Sensing, 2016, v. 37, n. 5, p. 1154, doi. 10.1080/01431161.2016.1145364
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Normalization of medium-resolution NDVI by the use of coarser reference data: method and evaluation.
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- International Journal of Remote Sensing, 2014, v. 35, n. 21, p. 7400, doi. 10.1080/01431161.2014.968684
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A piece-wise approach to removing the nonlinear and irregular stripes in MODIS data.
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- International Journal of Remote Sensing, 2014, v. 35, n. 1, p. 44, doi. 10.1080/2150704X.2013.860564
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Damage assessment in urban areas using post-earthquake airborne PolSAR imagery.
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- International Journal of Remote Sensing, 2013, v. 34, n. 24, p. 8952, doi. 10.1080/01431161.2013.860566
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A multiscale urban complexity index based on 3D wavelet transform for spectral–spatial feature extraction and classification: an evaluation on the 8-channel WorldView-2 imagery.
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- International Journal of Remote Sensing, 2012, v. 33, n. 8, p. 2641, doi. 10.1080/01431161.2011.614287
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Classification of high-spatial resolution imagery based on distance-weighted Markov random field with an improved iterated conditional mode method.
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- International Journal of Remote Sensing, 2011, v. 32, n. 24, p. 9843, doi. 10.1080/01431161.2010.549854
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Object-oriented change detection based on the Kolmogorov-Smirnov test using high-resolution multispectral imagery.
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- International Journal of Remote Sensing, 2011, v. 32, n. 20, p. 5719, doi. 10.1080/01431161.2010.507263
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Unsupervised remote sensing image classification using an artificial immune network.
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- International Journal of Remote Sensing, 2011, v. 32, n. 19, p. 5461, doi. 10.1080/01431161.2010.502155
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Information fusion of aerial images and LIDAR data in urban areas: vector-stacking, re-classification and post-processing approaches.
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- International Journal of Remote Sensing, 2011, v. 32, n. 1, p. 69, doi. 10.1080/01431160903439882
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Topographic effects on estimating net primary productivity of green coniferous forest in complex terrain using Landsat data: a case study of Yoshino Mountain, Japan.
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- International Journal of Remote Sensing, 2010, v. 31, n. 11, p. 2941, doi. 10.1080/01431160903140829
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A comparative study of spatial approaches for urban mapping using hyperspectral ROSIS images over Pavia City, northern Italy.
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- International Journal of Remote Sensing, 2009, v. 30, n. 12, p. 3205, doi. 10.1080/01431160802559046
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Road centreline extraction from high-resolution imagery based on multiscale structural features and support vector machines.
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- International Journal of Remote Sensing, 2009, v. 30, n. 8, p. 1977, doi. 10.1080/01431160802546837
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A new vegetation index based on the universal pattern decomposition method.
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- International Journal of Remote Sensing, 2007, v. 28, n. 1, p. 107, doi. 10.1080/01431160600857402
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Assessment of the universal pattern decomposition method using MODIS and ETM data.
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- International Journal of Remote Sensing, 2007, v. 28, n. 1, p. 125, doi. 10.1080/01431160600617228
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Sensor‐independent analysis method for hyperspectral data based on the pattern decomposition method.
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- International Journal of Remote Sensing, 2006, v. 27, n. 21, p. 4899, doi. 10.1080/01431160600702640
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Multi-temporal urban semantic understanding based on GF-2 remote sensing imagery: from tri-temporal datasets to multi-task mapping.
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- International Journal of Digital Earth, 2023, v. 16, n. 1, p. 3321, doi. 10.1080/17538947.2023.2246445
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The Effects of Fireworks Discharge on Atmospheric PM 2.5 Concentration in the Chinese Lunar New Year.
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- International Journal of Environmental Research & Public Health, 2020, v. 17, n. 24, p. 9333, doi. 10.3390/ijerph17249333
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The Relationships between PM<sub>2.5</sub> and Meteorological Factors in China: Seasonal and Regional Variations.
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- International Journal of Environmental Research & Public Health, 2017, v. 14, n. 12, p. 1510, doi. 10.3390/ijerph14121510
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Fusing MODIS and AVHRR products to generate a global 1-km continuous NDVI time series covering four decades.
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- Big Earth Data, 2025, v. 9, n. 1, p. 72, doi. 10.1080/20964471.2024.2448072
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Fusing MODIS and AVHRR products to generate a global 1-km continuous NDVI time series covering four decades.
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- Earth System Science Data Discussions, 2021, p. 1, doi. 10.5194/essd-2021-156
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Edge-Reinforced Convolutional Neural Network for Road Detection in Very-High-Resolution Remote Sensing Imagery.
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- Photogrammetric Engineering & Remote Sensing, 2020, v. 86, n. 3, p. 153, doi. 10.14358/PERS.86.3.153
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Spatial-Spectral Unsupervised Convolutional Sparse Auto-Encoder Classifier for Hyperspectral Imagery.
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- Photogrammetric Engineering & Remote Sensing, 2017, v. 83, n. 3, p. 195, doi. 10.14358/PERS.83.3.195
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Urban Classification by the Fusion of Thermal Infrared Hyperspectral and Visible Data.
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- Photogrammetric Engineering & Remote Sensing, 2015, v. 81, n. 12, p. 901, doi. 10.14358/PERS.81.12.901
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