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Hyperspectral image enhancement using thermal bands: A methodology to remove building shadows
2010
2010 IEEE International Geoscience and Remote Sensing Symposium
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Among the range of applications of hyperspectral data, this work has been focused on urban environment, where they are very useful to provide detailed maps of urban land cover. ...
In particular, an important application is Urban Thermography, representing an effective methodology for LST (Land Surface Temperature) retrieval and Urban Energy Balance Models [1]. ...
With the increasing hyperspectral flights above urban areas, this technique can be very effective to detect features under building shadows and to highlight the surface that is shaded by these building ...
doi:10.1109/igarss.2010.5649689
dblp:conf/igarss/LazzariniLF10
fatcat:kwz2lzsjqbfingp34rdh34x7my
An Automatic Method for Unsupervised Feature Selection of Hyperspectral Images Based on Fuzzy Clustering of Bands
2020
Traitement du signal
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The proposed band selection technique chooses a representative band in each cluster and removes the other redundant ones. ...
To do so, a new statistical feature space is introduced in which each band is regarded as a sample point. ...
METHODOLOGY As mentioned earlier, MAD and kurtosis measures are used as statistical measures [32] . It seems that using the more statistical measures can enhanced their method. ...
doi:10.18280/ts.370218
fatcat:x2qqt2vdpzd5parrjfpubfhb2m
Front Matter: Volume 10004
2017
Image and Signal Processing for Remote Sensing XXII
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SPIE uses a seven-digit CID article numbering system structured as follows: The first five digits correspond to the SPIE volume number. ...
A unique citation identifier (CID) number is assigned to each article at the time of publication. ...
enhancement of tri-stereo remote sensing images by super resolution methods [10004-10]
SESSION 3 TARGET AND OBJECT DETECTION
0A A novel method to detect shadows on multispectral images 10004 0B Tree ...
doi:10.1117/12.2263641
fatcat:lkznagpvvzdzbhq4f5giqv2p5e
Comparing Hyperspectral and Multispectral Imagery for Land Classification of the Lower Don River, Toronto
2013
Journal of geography and geology
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This study utilized conventional and segmented principal components (CPCA and SPCA) for data compression on the Hyperion imagery, and used principal components analysis (PCA) as a visual enhancement technique ...
Unsupervised iterative self-organizing data analysis (ISODATA) classification procedures were performed on all images to produce land cover classification maps for a portion of the Lower Don River in Toronto ...
Greene contributed with his information and useful suggestions regarding hyperspectral data compression and principal component concepts. ...
doi:10.5539/jgg.v5n1p92
fatcat:mu7tt4lb4ffztmyzvkg2q76qje
Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest
2015
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Index Terms-Hyperspectral, image analysis and data fusion (IADF), landcover classification, multimodal-, multiresolution-, multisource-data fusion, thermal imaging. ...
The Contest was proposed as a double-track competition: one aiming at accurate landcover classification and the other seeking innovation in the fusion of thermal hyperspectral and color data. ...
(Québec, Canada) for acquiring and providing the data used in this study, the Centre de Recherche Public Gabriel Lippmann (CRPGL, Luxembourg) and Dr. M. ...
doi:10.1109/jstars.2015.2420582
fatcat:khxvul3eyjcvfkeel7kbpmtdvq
Detection of Gray Mold Leaf Infections Prior to Visual Symptom Appearance Using a Five-Band Multispectral Sensor
2019
Frontiers in Plant Science
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Using a five-lens multispectral imager, spectral reflectance of green, blue, red, near infrared (NIR, 840 nm), and rededge (RE, 720 nm) was recorded in time-course experiments of detached tomato leaves ...
Re-analysis of the imagery taken with NIR and RE band allowed to classify infected tissue. ...
ACKNOWLEDGMENTS We are grateful to Philippe Nicot for providing the B. cinerea strain T4, INRA Centre de Recherche PACA, Montfavet, France. ...
doi:10.3389/fpls.2019.00628
pmid:31156683
pmcid:PMC6529515
fatcat:u75fbrbldngn3n3fygcdjhdoui
The development of Superspectral approaches for the improvement of land cover classification
2004
IEEE Transactions on Geoscience and Remote Sensing
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A second case study is presented using the National Aeronautics and Space Administration's experimental hyperspectral imager HY-PERION. ...
The Spectral Angle Mapper algorithm was used for classification because it is insensitive to shadows. ...
ACKNOWLEDGMENT The authors would like to thank E. Peccol (University of Udine-DPVTA, Italy) for ground truth collection support and to C. ...
doi:10.1109/tgrs.2004.835347
fatcat:3e7nejovubbu7gonoqx5zkip24
Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data
2021
IEEE Transactions on Geoscience and Remote Sensing
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Following rigorous radiometric and BRDF corrections, novel rule-based methods were developed to conduct automatic soil removal; and a newly proposed approach was used for image quality assessment; additionally ...
normalization, soil and shadow masking, and image quality assessments was developed. ...
METHODOLOGY
A. ...
doi:10.1109/tgrs.2021.3091409
fatcat:enc2zumt6ndbjddewb2yzr3j34
2019 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 12
2019
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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., +,
JSTARS Dec. 2019 4843-4853
An Automatic Bad Band Pre-Removal Method for Hyperspectral Imagery. ...
., +, JSTARS Dec. 2019 5061-5075 Detectors An Automatic Bad Band Pre-Removal Method for Hyperspectral Imagery. ...
doi:10.1109/jstars.2020.2973794
fatcat:sncrozq3fjg4bgjf4lnkslbz3u
AN EXTENDED SPECTRAL–SPATIAL CLASSIFICATION APPROACH FOR HYPERSPECTRAL DATA
2017
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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To evaluate the proposed approach, the Pavia University hyperspectral data is tested. ...
Three different methods of dimension reduction are first used to obtain the subspace of hyperspectral data: (1) unsupervised feature extraction methods including principal component analysis (PCA), independent ...
ACKNOWLEDGEMENTS The authors would like to thank Prof. P. Gamba from the University of Pavia, Italy, for providing the hyperspectral data. ...
doi:10.5194/isprs-annals-iv-4-w4-37-2017
fatcat:5mwgll3twjcd7afbqec5ma7kn4
Assessment of Ponderosa Pine Vigor Using Four-Band Aerial Imagery in South Central Oregon: Crown Objects to Landscapes
2021
Forests
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using existing, agency-acquired four-band aerial imagery. ...
To address a management need for efficient landscape-level surveys of forest health, we used Random Forests to develop an object-oriented classification of individual tree crowns (ITCs) into vigor classes ...
Applying the threshold values to the entire DVI and brightness image bands effectively created a segmented image with two classes-ITC and not ITC (non-PP vegetation, ground cover, roads, landings, shadows ...
doi:10.3390/f12050612
fatcat:fuuattjetzdfxlp5jxpj2as6ju
Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries
2004
IEEE Transactions on Geoscience and Remote Sensing
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shadows ! ...
In contrast, we consider an opposite methodology for processing hyperspectral data. ...
bands collected by a hyperspectral sensor, superior discrimination can be achieved using only a fraction of the available bands. ...
doi:10.1109/tgrs.2004.830549
fatcat:hgaggsiqurgtrhjdc7tgkzfx5y
Extracting impervious surfaces from medium spatial resolution multispectral and hyperspectral imagery: a comparison
2008
International Journal of Remote Sensing
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The land surface temperature image was used as a threshold to remove dry soils from the high-albedo fraction image and to remove water and shadows from the low-albedo fraction image. ...
Lu and Weng (2006a) have successfully used Landsat thermal-infrared data to enhance their estimation of impervious surfaces based on the difference in land surface temperature between impervious and pervious ...
doi:10.1080/01431160701469024
fatcat:icqrvgticzbcplgvilhbz74ybe
Exploring the Potential of HySpex Hyperspectral Imagery for Extraction of Copper Content
2020
Sensors
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wavebands selection methods to explore the usefulness of super-low-altitude HySpex hyperspectral images in estimating detritus feasibility and effectiveness of Cu element content. ...
Only 20 bands were used in the model construction, which is lower than that of GA (105) and SPA (42); (3) The power-logarithm transforms, and CARS combined with the model of HySpex hyperspectral images ...
Acknowledgments: We would like to thank the Xinjiang Laboratory of Mineral Resources and Digital Geology of the Chinese Academy of Sciences for guidance and full support. ...
doi:10.3390/s20216325
pmid:33171902
fatcat:smu6fxj56faonhowx6xoch6xv4
Challenges And Opportunities Of Multimodality And Data Fusion In Remote Sensing
2014
Zenodo
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Likewise, another proposed work was a new method that focused on removing artifacts due to cloud shadows that were affecting a small part of the image [8] . ...
The hyperspectral imagery was composed of 144 spectral bands from 380 to 1050 nm. ...
doi:10.5281/zenodo.43976
fatcat:pgdxkmjoxzbojnlzznlk57ynga
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