A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
Filters
Exploiting manifold geometry in hyperspectral imagery
2005
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
Using land-cover classification of hyperspectral imagery in the Virginia Coast Reserve as a test case, we show that the new manifold representation provides better separation of spectrally similar classes ...
This new approach seeks a manifold coordinate system that preserves geodesic distances in the high-dimensional hyperspectral data space. ...
Providing examples from water and both vegetated and nonvegetated land imagery, we demonstrated that the manifold coordinate representation provides a more compact representation of hyperspectral data ...
doi:10.1109/tgrs.2004.842292
fatcat:mqhoprk7dffm7daplzymyymrzm
Improved Manifold Coordinate Representations of Large-Scale Hyperspectral Scenes
2006
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
In recent publications, we have presented a datadriven approach to representing the nonlinear structure of hyperspectral imagery using manifold coordinates. ...
From these distances, a set of intrinsic manifold coordinates that parameterizes the data manifold is derived. ...
In this paper, we also described the results of some simple land-cover classification experiments from coastal HSI imagery using maximum likelihood. ...
doi:10.1109/tgrs.2006.881801
fatcat:6lvar7qherfsbfy2duqitdn4ki
Integration of Hyperspectral Imagery and Sparse Sonar Data for Shallow Water Bathymetry Mapping
2015
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Here, we propose a new approach to shallow water bathymetry mapping that integrates hyperspectral image and sparse sonar data. ...
First, we propose a new algorithm, i.e., a sonar-based semisupervised Laplacian eigenmap (LE) using both spatial and spectral distance, for dimensional reduction of Hyperion imagery. ...
[39] examined the accuracy of manifold coordinate representations as a reduced representation of hyperspectral imagery lookup table for bathymetry retrieval. ...
doi:10.1109/tgrs.2014.2372787
fatcat:cyjrpwfysjhjljlv6nlg3retii
Estimation of Water Depths and Turbidity From Hyperspectral Imagery Using Support Vector Regression
2015
IEEE Geoscience and Remote Sensing Letters
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We propose and evaluate an empirical method for water depth determination from hyperspectral imagery when the benthic layer is visible using support vector regression (SVR). ...
We also demonstrate an extension of the nonparametric properties of SVR to provide estimates of water turbidity from hyperspectral imagery and show that the approach is able to estimate turbidity with ...
[8] used a manifold coordinate representation to retrieve bathymetry from hyperspectral imagery with a reduced representation. ...
doi:10.1109/lgrs.2015.2453636
fatcat:7eedtodgqbcyxiugvmi45fjgf4
Spherical Nearest Neighbor Classification: Application to Hyperspectral Data
[chapter]
2011
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
Here we discuss an approach that seeks a hyperspherical coordinate system preserving geodesic distances in the high dimensional hyperspectral data space. ...
A lower dimensional hyperspherical manifold is computed using a lower rank matrix approximation algorithm combined with the recently proposed spherical embeddings method. ...
Another source of nonlinearity, especially in coastal environments such as coastal wetlands, arises from the variable presence of water in pixels as a function of position in the landscape. ...
doi:10.1007/978-3-642-23199-5_13
fatcat:jv7o23wu35g73o52k5orjgvheu
Joint Characterization of the Cryospheric Spectral Feature Space
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Hyperspectral feature spaces are useful for many remote sensing applications ranging from spectral mixture modeling to discrete thematic classification. ...
We use a diverse collection of AVIRIS-NG reflectance spectra of the snow-firn-ice continuum to illustrate the utility of joint characterization and identify physical properties inferred from the spectra ...
Although rarely considered explicitly in the design of such models for multispectral imagery, the question is central to models for hyperspectral imagery as the transition from undersampling to oversampling ...
arXiv:2112.01416v1
fatcat:3jrxccsg45bxfgqys7a6ulrzja
Joint Characterization of the Cryospheric Spectral Feature Space
2022
Frontiers in Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is text/html.
Multispectral and hyperspectral feature spaces are useful for a variety of remote sensing applications ranging from spectral mixture modeling to discrete thematic classification. ...
In many of these applications, models are used to project the higher dimensional continuum of reflectances (or radiances) onto lower dimensional mappings of the image target's physical properties or categorical ...
Although rarely considered explicitly in the design of such models for multispectral imagery, the question is central to models for hyperspectral imagery as the transition from undersampling to oversampling ...
doi:10.3389/frsen.2021.793228
fatcat:igm6cgui2jbz3lzpo2ywgphbg4
2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57
2019
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
., Geosynchronous SAR Tomography: Theory and First Experimental Verification Using Beidou IGSO Satellite; TGRS Sept. 2019 6591-6607 Hu, F., Wu, J., Chang, L., and Hanssen, R.F., Incorporating Temporary ...
Bi, S., +, TGRS Oct. 2019 7447-7459 Regionally and Locally Adaptive Models for Retrieving Chlorophyll-a Concentration in Inland Waters From Remotely Sensed Multispectral and Hyperspectral Imagery. ...
., +, TGRS Jan. 2019 482-496
TGRS Dec. 2019 9779-9790
From Difference to Similarity: A Manifold Ranking-Based Hyperspectral
Anomaly Detection Framework. ...
doi:10.1109/tgrs.2020.2967201
fatcat:kpfxoidv5bgcfo36zfsnxe4aj4
Imaging and Classification Techniques for Seagrass Mapping and Monitoring: A Comprehensive Survey
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
So far, for seagrass detection and mapping, digital images from airborne cameras, spectral images from satellites, acoustic image data using underwater sonar technology, and digital underwater photo and ...
video images have been used to map the seagrass meadows or monitor their condition. ...
For their approach of seagrass detection and bathymetry mapping from hyperspectral images, Bachmann et al. [6] used a technique called manifold coordinate representations (MCR). ...
arXiv:1902.11114v2
fatcat:cctkhtbc2bg73pfenrkbmxq3ay
2020 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 13
2020
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Gao, T., +, JSTARS 2020
2610-2625
A Novel Water Change Tracking Algorithm for Dynamic Mapping of Inland
Water Using Time-Series Remote Sensing Imagery. ...
., +, JSTARS 2020
4429-4442
Printgrammetry-3-D Model Acquisition Methodology From Google Earth
Imagery Data. ...
A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection From Single-Temporal RapidEye Satellite Imagery. Yi, Y., +, JSTARS 2020 ...
doi:10.1109/jstars.2021.3050695
fatcat:ycd5qt66xrgqfewcr6ygsqcl2y
Multidimensional Artificial Field Embedding With Spatial Sensitivity
2014
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Multidimensional embedding is a technique useful for characterizing spectral signature relations in hyperspectral images. ...
We further adapt a force field intuition from mechanics to develop a unifying nonlinear graph embedding framework. ...
The knowledge and feedback comments from anonymous reviewers and editors were instrumental in compiling the final manuscript. This research was supported by the CSIR Meraka Institute of South Africa. ...
doi:10.1109/tgrs.2013.2251889
fatcat:bv27b6alafboxcnmnbo5yjrwsm
2021 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 14
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
Integration of Crop Growth Model and Random Forest for Winter Wheat Yield Estimation From UAV Hyperspectral Imagery. ...
., +, JSTARS 2021 4150-4166 Manifold-Based Nonlocal Second-Order Regularization for Hyperspectral Image Inpainting. ...
doi:10.1109/jstars.2022.3143012
fatcat:dnetkulbyvdyne7zxlblmek2qy
A flexible hyperspectral simulation tool for complex littoral environments
2006
Photonics for Port and Harbor Security II
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
DIRSIG has an established history in multi and hyperspectral scene simulation of terrain targets ranging from the visible to the thermal infrared (0.380 -20.0 microns). ...
structure of objects in and out of the water. ...
The primary contribution of this work is to adapt this method in order to generate spectral (rather than three band) synthetic imagery driven by bio-optical models of water properties and integrate it ...
doi:10.1117/12.665827
fatcat:h6pna6sg3nbsrfdora3fpquvum
Table of Contents
2020
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
TH1-R3.11: SYMMETRIC SCATTERING MODEL BASED FEATURE EXTRACTION FROM .................................. 1703 GENERAL COMPACT POLARIMETRIC SAR IMAGERY Junjun Yin, University of Science and Technology Beijing ...
SAR USING MULTISCALE ICE...............................3027 AND WATER RETRIEVALSAlexander Komarov, Mark Buehner, Data Assimilation and Satellite Meteorology Research Section, Canada TU2-R9.8: MODELING ...
doi:10.1109/igarss39084.2020.9323828
fatcat:6aittajt35gufeaugcmemu5cya
Multimodal hyperspectral remote sensing: an overview and perspective
2021
Science China Information Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
hyperspectral imaging modes are carried out from the following four aspects: fundamental principle of new mode of hyperspectral imaging, corresponding scientific data acquisition, data processing and application ...
Conventional hyperspectral imaging spectrometer extends the number of spectral bands to dozens or hundreds, and provides spatial distribution of the reflected solar radiation from the scene of observation ...
Fueled by the penetration characteristics of water at different wavelengths, the water depth estimate can be carried out by using HSE system, which can achieve the seamless terrain mapping coastal zone ...
doi:10.1007/s11432-020-3084-1
fatcat:tivcc4l5efh5zg62t37stswqgu
« Previous
Showing results 1 — 15 out of 80 results