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A simple error estimation method for linear-regression-based thermal sharpening techniques with the consideration of scale difference
2014
Geo-spatial Information Science
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In this paper, an error estimation method based on classical linear regression theory for the linear-regression-based TSP techniques was firstly introduced. ...
Therefore, we further developed an improved error estimation method with the consideration of the scale difference, which employs a novel term named equivalent random sample size to reflect the scale difference ...
A simple error estimation method for linearregression-based thermal sharpening techniques with the consideration of scale difference Xuehong Taylor & Francis makes every effort to ensure the accuracy ...
doi:10.1080/10095020.2014.889546
fatcat:yq5eoawxnjghjaztwxosdzskia
Sharpening Thermal Imageries: A Generalized Theoretical Framework From an Assimilation Perspective
2011
IEEE Transactions on Geoscience and Remote Sensing
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Tang for his thoughtful understanding and recommendations on kernel functions and kernel methods in pattern recognition, and the anonymous referees for their constructive comments and suggestions. ...
ACKNOWLEDGMENT The authors would like to thank the U.S. Geological Survey and the China Centre for Resource Satellite Data and Applications (CRESDA) for providing the TM, IRS, MODIS, and ASTER data. ...
A. Sharpening With Semiempirical Regressive Kernels Kernel-driven methods can improve the accuracy of estimations of land surface biophysical parameters [36] , [37] . ...
doi:10.1109/tgrs.2010.2060342
fatcat:7dxajlgyc5fj5pyhmn3vqtlgfa
Improved DisTrad for Downscaling Thermal MODIS Imagery over Urban Areas
2017
Remote Sensing
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The improved resampling technique is based on a regression relationship between the residuals of the temperature estimation and the impervious percentage index. ...
Statistical results indicate that the improved DisTrad method shows a higher correlation (R 2 = 0.48) with the observed temperatures than the original DisTrad (R 2 = 0.43) and a lower mean absolute error ...
This research was under the framework of a PhD study supported by an ERASMUS MUNDUS Scholarship programme based on the bilateral agreement between Al-AQSA University (Palestine) and the EU. ...
doi:10.3390/rs9121243
fatcat:cj3cf25yirevjkx54rauhyzlna
A Combination of TsHARP and Thin Plate Spline Interpolation for Spatial Sharpening of Thermal Imagery
2014
Remote Sensing
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The spatially explicit errors of these two methods were firstly estimated in theory, and then the results of TPS and TsHARP were combined with the estimation of their errors. ...
It has been shown to be accurate and robust for different datasets; however, it has not yet been attempted in thermal sharpening. ...
Author Contributions Xuehong Chen wrote the manuscript and was responsible for the research design and algorithm development. Wentao Li coded the algorithm and made figures. ...
doi:10.3390/rs6042845
fatcat:zagga5qak5elxkizofgkrsgntm
A vegetation index based technique for spatial sharpening of thermal imagery
2007
Remote Sensing of Environment
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Four different methods for defining a VI − T R basis function for sharpening were examined, and an optimal form involving a transformation to fractional vegetation cover was identified. ...
Further research is required to examine the performance of TsHARP over regions with different climatic and land-use characteristics at local and regional scales. ...
The linear method yielded the largest errors at low NDVI for all dates, while the fraction vegetation cover based methods generated errors that are most uniformly small over the full range in NDVI, reflecting ...
doi:10.1016/j.rse.2006.10.006
fatcat:kg5cwyomlncojhrrs5yc6csk6u
Enhancing the spatial resolution of satellite-derived land surface temperature mapping for urban areas
2015
Sustainable cities and society
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Here, a thermal sharpening technique is proposed which could enhance the spatial resolution of satellite-derived LST based on super-resolution mapping (SRM) and super-resolution reconstruction (SRR). ...
To validate the SRTS, its performance is compared against that of four popular thermal sharpeners: the thermal sharpening algorithm (TsHARP), adjusted stratified stepwise regression method (Stepwise), ...
Anuar Muad who provided the HNN Matlab code and guidance on its use. Also, many thanks to Yang J.C. who made the sparse representation model based SRR Matlab code available online free of charge. ...
doi:10.1016/j.scs.2015.04.007
fatcat:agkq6du7gjhcvaz3357aktwlky
Resolution Enhancement of Remotely Sensed Land Surface Temperature: Current Status and Perspectives
2021
Remote Sensing
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Therefore, this study reviewed the current status of resolution enhancement methods for LST data. ...
Remotely sensed land surface temperature (LST) distribution has played a valuable role in land surface processes studies from local to global scales. ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. ...
doi:10.3390/rs13071306
fatcat:4br2m7amujc55ibeierxt53lya
Disaggregation of remotely sensed land surface temperature: Literature survey, taxonomy, issues, and caveats
2013
Remote Sensing of Environment
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Two subtopics of DLST, thermal sharpening (TSP) and temperature unmixing (TUM), are identified as a dual pair of DLST because of their parallel areas of interest. ...
Various methods have been independently proposed for DLST in recent decades. However, this field is suffering a disorderly development. ...
The studies of the same author in different years are combined.
Fig. 5 . 5 The categorization of thermal sharpening (TSP) based on the sensor type (a) and the sharpening level (b). ...
doi:10.1016/j.rse.2012.12.014
fatcat:3rjpbm2gpjfl7l45vk6vlnbz3a
Sharpening ECOSTRESS and VIIRS land surface temperature using harmonized Landsat-Sentinel surface reflectances
2020
Remote Sensing of Environment
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Spatial sharpening of LST data using the higher resolution multi-band SR data provides an important path for improved agricultural monitoring at sub-field scales. ...
To account for the misalignment between ECOSTRESS/VIIRS and Landsat/HLS caused by errors in registration and orthorectification, we propose a modified version of the DMS approach that employs a relaxed ...
Acknowledgment This work was partially supported by the NASA's Land Cover and Land Use MuSLI Program (NNH17ZDA001N-LCLUC), the NASA's Science of TERRA, AQUA, and SUOMI NPP Program (NNH17ZDA001N-TASNPP) ...
doi:10.1016/j.rse.2020.112055
pmid:33814638
pmcid:PMC8011572
fatcat:oyljpgynxrh6dpz2prooq6m2vu
Downscaling Geostationary Land Surface Temperature Imagery for Urban Analysis
2013
IEEE Geoscience and Remote Sensing Letters
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The downscaling was performed using different advanced regression algorithms, such as support vector regression machines, neural networks, and regression trees, and its performance was improved using gradient ...
The results showed that support vector machines coupled with gradient boosting proved to be a robust high-performance methodology reaching correlation coefficients from 0.69 to 0.81 when compared with ...
With this method, one can estimate the percentage of a pixel covered by a thermal anomaly and its temperature. However, the method gives no solution on the position of the anomaly. ...
doi:10.1109/lgrs.2013.2257668
fatcat:yqeiagzszjafdmjvmbs24p2toa
Sharpening method of satellite thermal image based on the geographical statistical model
2016
Journal of Applied Remote Sensing
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This method produced a sharpening result with low error and good visual effect. ...
To improve the effectiveness of thermal sharpening in mountainous regions, paying more attention to the laws of land surface energy balance, a thermal sharpening method based on the geographical statistical ...
We also deeply appreciate the American National Renewable Energy Laboratory for providing the solar radiation data and the atmospheric data related with solar radiation. ...
doi:10.1117/1.jrs.10.025013
fatcat:wetlqsakuvcq5bxitbuzozenya
A two-step pansharpening of ETM+ TIR image based on SFIM and neural network regression
2009
2009 IEEE International Conference on Systems, Man and Cybernetics
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For difference in imaging principles between TIR image and optical images, traditional image fusion techniques, such as component substation and MRA methods will not be proper. ...
A two-step approach to enhance the resolution of remote sensing thermal infrared (TIR) images is proposed in this paper. ...
ACKNOWLEDGMENT The authors would like to thank professor Guang-Bin Huang for sharing the codes of ELM. We also thank China Remote Sensing Satellite Ground Station for providing ETM+ data. ...
doi:10.1109/icsmc.2009.5346259
dblp:conf/smc/HanY09
fatcat:ynp5bqmm3rditfx3czibxwmhl4
Evaluation of Two Applications of Spectral Mixing Models to Image Fusion
2000
Remote Sensing of Environment
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Global Regression Method The global regression method is designed to overcome some of the limitations of the extended regression technique. ...
The Price and Munechika methods produce similar results in the correlated bands. The simple ratio technique by Munechika forms the basis for the extended and global regression methods. ...
The algorithm may be performed in reflectance space (0 to 1) or Digital Count (DC) space (0 to 255). Both the multispectral image and the reflectance library must be in the same space. ...
doi:10.1016/s0034-4257(99)00074-7
fatcat:qk6jgbpcyfhbtg2k77tkxbf43m
An Intercomparison Study of Algorithms for Downscaling SMAP Radiometer Soil Moisture Retrievals
2020
Journal of Hydrometeorology
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Three recently developed downscaling algorithms are evaluated and compared: a simple regression algorithm based on 9-km thermal inertial data, a data mining approach called regression tree based on 9- ...
The linear regression algorithm using the thermal sensing based evaporative stress index (ESI) had the best agreement with the in situ measurements from networks in the contiguous United States according ...
The manuscript contents are solely the opinions of the authors and do not constitute a statement of policy, decision, or position on behalf of NOAA or the U. S. Government. ...
doi:10.1175/jhm-d-19-0034.1
fatcat:dasatlfgmjglvcf5w5xqkolxli
Estimating aboveground carbon in a catchment of the Siberian forest tundra: Combining satellite imagery and field inventory
2009
Remote Sensing of Environment
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We combined multi-spectral high resolution remote sensing imagery and sample based field inventory data by means of the k-nearest neighbor (k-NN) technique and linear regression. ...
Zonal prediction from the k-NN method for the Quickbird image as carrier is 14.7 t/ha with a root mean square error RMSE = 6.42 t/ha, RMSE r = 44%) resulting from leave-one-out crossvalidation. ...
Sincere thanks do also go to four anonymous reviewers for their in-depth observations and to the guest editor Dr Ronald McRoberts for his continued support which helped improve the manuscript considerably ...
doi:10.1016/j.rse.2008.07.017
fatcat:kx5qk4adf5htrejv4gaw5peazu
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