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Hyperspectral image enhancement using thermal bands: A methodology to remove building shadows

M. Lazzarini, J. G. Liu, F. Del Frate
2010 2010 IEEE International Geoscience and Remote Sensing Symposium  
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

Behnam Beirami, Mehdi Mokhtarzade
2020 Traitement du signal  
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  
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

Lisa-Jen Ferrato, K. Wayne Forsythe
2013 Journal of geography and geology  
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

Wenzhi Liao, Xin Huang, Frieke Van Coillie, Sidharta Gautama, Aleksandra Pizurica, Wilfried Philips, Hui Liu, Tingting Zhu, Michal Shimoni, Gabriele Moser, Devis Tuia
2015 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
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

Johannes Fahrentrapp, Francesco Ria, Martin Geilhausen, Bernd Panassiti
2019 Frontiers in Plant Science  
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

M. Gianinetto, G. Lechi
2004 IEEE Transactions on Geoscience and Remote Sensing  
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

Vasit Sagan, Maitiniyazi Maimaitijiang, Sidike Paheding, Sourav Bhadra, Nichole Gosselin, Max Burnette, Jeffrey Demieville, Sean Hartling, David LeBauer, Maria Newcomb, Duke Pauli, Kyle T. Peterson (+4 others)
2021 IEEE Transactions on Geoscience and Remote Sensing  
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  
., +, 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

D. Akbari
2017 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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

Charlie Schrader-Patton, Nancy Grulke, Craig Bienz
2021 Forests  
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

N. Keshava
2004 IEEE Transactions on Geoscience and Remote Sensing  
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

Qihao Weng, Xuefei Hu, Dengsheng Lu
2008 International Journal of Remote Sensing  
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

Guo Jiang, Shuguang Zhou, Shichao Cui, Tao Chen, Jinlin Wang, Xi Chen, Shibin Liao, Kefa Zhou
2020 Sensors  
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

Jocelyn Chanussot, Mauro Dalla Mura, P. Gamba, Fabio Pacifici, Saurabh Prasad
2014 Zenodo  
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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