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.
Filters
USE SATELLITE IMAGES AND IMPROVE THE ACCURACY OF HYPERSPECTRAL IMAGE WITH THE CLASSIFICATION
2015
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Preserved Fulltext
The spectral unmixing method that implemented here is an effective technique for classifying a hyperspectral image giving the classification accuracy about 89%. ...
The results of classification when applying on the original images are not good because some of the hyperspectral image bands are subject to absorption and they contain only little signal. ...
The analysis part is a key component of RS system, because we can change the data to information via it. ...
doi:10.5194/isprsarchives-xl-1-w5-343-2015
fatcat:dwmepv55ivguxcm3uh6iwj6mhm
Nonlocal Total Variation Subpixel Mapping for Hyperspectral Remote Sensing Imagery
2016
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 2019; you can also visit the original URL.
The file type is application/pdf.
[39], image classification [40], sparse unmixing [41] , and so on. ...
In this paper, a novel subpixel mapping method for hyperspectral remote sensing imagery based on a nonlocal method, namely nonlocal total variation subpixel mapping (NLTVSM), is proposed to use the nonlocal ...
Figure 11 . 11 The subpixel mapping results for the Nuance hyperspectral image. (a) Reference classification image; (b) SASM; (c) PSSM; (d) GASM; (e) GSM; (f) TVSM; and (g) NLTVSM. ...
doi:10.3390/rs8030250
fatcat:gvkevxixdraydnwbzc6xzjnrfa
Low-bit rate exploitation-based lossy hyperspectral image compression
2010
Journal of Applied 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 2011; you can also visit the original URL.
The file type is application/pdf.
In order to demonstrate advantages of the proposed spectral/spatial compression approach applications of subpixel target detection and mixed pixel analysis are used for experiments for performance evaluation ...
Unfortunately, some major issues generally encountered in hyperspectral data exploitation at low or very low-bit rate compression, for example, subpixels and mixed pixels which do not occur in traditional ...
-I Chang would like to thank for support received from the National Science Council in Taiwan under NSC 98-2811-E-005-024 and NSC 98-2221-E-005-096. ...
doi:10.1117/1.3530429
fatcat:2f72oxaiwbd2tju45umqfy5zyi
Subpixel target detection and enhancement in hyperspectral images
2011
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII
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 2012; you can also visit the original URL.
The file type is application/pdf.
This limits the applicability of hyperspectral data for subpixel target detection. ...
Hyperspectral data due to its higher information content afforded by higher spectral resolution is increasingly being used for various remote sensing applications including information extraction at subpixel ...
However, multifold increase in data, spectral variability and lack of adequate spatial resolution have given rise to a number of typical problems in hyperspectral image analysis for subpixel target detection ...
doi:10.1117/12.887426
fatcat:a3ud2j5du5frvd2meq2gvcyw4y
Hyperspectral image quality for unmixing and subpixel detection applications
2013
Image Quality and System Performance X
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 2016; you can also visit the original URL.
The file type is application/pdf.
Initial results of our study show the dominance of spatial resolution in determining the ability to detect subpixel objects and the necessity of sufficient spectral range for unmixing accuracy. ...
Future work is aimed at generalizing these results and to provide new prediction tools to assist with hyperspectral imaging sensor design and operation. ...
ACKNOWLEDGMENTS The authors would like to acknowledge the efforts of several colleagues in fabricating, deploying, and measuring ground truth for the targets used in the experiment: Bo Ding, Kim Horan, ...
doi:10.1117/12.2001693
fatcat:am4urcxnq5fmjlkbyhq7v6hg3i
An Adaptive Subpixel Mapping Method Based on MAP Model and Class Determination Strategy for Hyperspectral Remote Sensing Imagery
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.
, AMCDSM, is proposed for hyperspectral remote sensing imagery. ...
Traditional subpixel mapping algorithms only utilize the low-resolution image obtained by the classification image downsampling and do not consider the spectral unmixing error, which is difficult to account ...
Shen of Wuhan University, Wuhan, China, for providing the helpful suggestions. ...
doi:10.1109/tgrs.2014.2340734
fatcat:xcjgk4gefbapzhpl6vwou7qfi4
Editorial for Special Issue "Hyperspectral Imaging and Applications"
2019
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.
This Special Issue has accepted and published 25 papers in various areas, which can be organized into 7 categories, Data Unmixing, Spectral variability, Target Detection, Hyperspectral Image Classification ...
Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging. ...
Qu This paper develops a Component substitution (CS) and multiresolution analysis (MRA)-based hybrid framework based on intrinsic image decomposition and weighted least squares filter for hyperspectral ...
doi:10.3390/rs11172012
fatcat:c23u3rahgjhctowk5xwllt2qea
SUBPIXEL MAPPING OF HYPERSPECTRAL IMAGE BASED ON LINEAR SUBPIXEL FEATURE DETECTION AND OBJECT OPTIMIZATION
2018
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial 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 2018; you can also visit the original URL.
The file type is application/pdf.
index analysis. ...
Owing to the limitation of spatial resolution of the imaging sensor and the variability of ground surfaces, mixed pixels are widesperead in hyperspectral imagery. ...
INTRODUCTION Hyperspectral images have become one of the most important information sources for earth observation. ...
doi:10.5194/isprs-annals-iv-3-161-2018
fatcat:lqryhdpf2fh5zp7f5wgbpy376e
Down-scaling of satellite hyperspectral images for monitoring croplands
2010
2010 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 2020; you can also visit the original URL.
The file type is application/pdf.
This down-scaled hyperspectral image could show better analysis results of soil properties, crop residues, and vegetation types and enhance their mapping accuracy without loss of spectral information. ...
Geocoding was implemented between Hyperion and QuickBird image before the classification steps. ...
doi:10.1109/igarss.2010.5649715
dblp:conf/igarss/ChoeHK10
fatcat:wbnmks6vj5ehfblihhphrcnary
Fuzzy Based Hyperspectral Image Segmentation Using Subpixel Detection[
2014
International Journal of Information Sciences and Techniques
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 2018; you can also visit the original URL.
The file type is application/pdf.
Principal Component Analysis (PCA) is the basic step adopted to reduce the high dimensional data of image to low dimensional data. ...
Keywords Spectral analysis, Hyperspectral image segmentation, Sub-pixel detection and FCM. ...
Subpixel analysis has detected targets covering as small as 1-3 % of the pixel. ...
doi:10.5121/ijist.2014.4322
fatcat:emizzvytrrg2hpvzllqwo3itam
THE EFFECT OF SPECTRAL MIXTURES ON WEED SPECIES CLASSIFICATION
2022
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial 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 2022; you can also visit the original URL.
The file type is application/pdf.
In this regard, hyperspectral sensors can capture leaf anatomy and biochemistry variations, suggesting many advantages for weed classification. ...
However, the typical tradeoff between spectral and spatial resolution poses a challenge for applying hyperspectral imaging in large scales and scenarios of high densities and tiny seedlings at early growth ...
Then, we selected the first ten components of the hyperspectral data and used them for the SVM classification. ...
doi:10.5194/isprs-annals-v-3-2022-477-2022
fatcat:y6plb2d3nbhsjfyarszvdllz7q
Super-resolution land-cover mapping based on the selective endmember spectral mixture model in hyperspectral imagery
2011
Optical Engineering: The Journal of SPIE
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.
Endmember is a fundamental variable in the process, which is a critical issue for decomposing the mixed pixels and sharpening the subpixel level images. ...
Two different types of hyperspectral data are used in our experiments. First, the SESM model is tested individually for validation of its applicability. ...
Super-Resolution Mapping Method The output of the soft classification for each pixel was an estimate of the proportion of the component classes, which does not indicate the location of the subpixel component ...
doi:10.1117/1.3660527
fatcat:3fwvjwpkxfdg7own3kbnlcel34
Attraction-Repulsion Model-Based Subpixel Mapping of Multi-/Hyperspectral Imagery
2013
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.
In the experiment, both a synthetic image with known fractional abundances and an EO-1 Hyperion hyperspectral image of Shanghai were used to evaluate performances of the subpixel mapping methods. ...
The proposed method is formulated as an optimization problem with respect to attractionrepulsion among subpixels and is used to reconstruct a finer spatial resolution image from a lower resolution one. ...
Among the most common techniques for subpixel-based soft classification are independent component analysis [5] , [6] , the conventional spectral angle mapper [7] , linear spectral mixture analysis ...
doi:10.1109/tgrs.2012.2218612
fatcat:gm2hr6ofzve7reb7tn2ajijymq
Detection and correction of spectral and spatial misregistrations for hyperspectral data using phase correlation method
2010
Applied Optics
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 2016; you can also visit the original URL.
The file type is application/pdf.
Hyperspectral imaging sensors suffer from spectral and spatial misregistrations. These artifacts prevent the accurate acquisition of spectra and thus reduce classification accuracy. ...
The main objective of this work is to detect and correct spectral and spatial misregistrations of hyperspectral images. The Hyperion visible near-infrared (VNIR) subsystem is used as an example. ...
Methods of evaluating hyperspectral sensor characteristics are also described.
Subpixel Image Registration Methods Subpixel image registration methods can detect smile and keystone properties. ...
doi:10.1364/ao.49.004568
pmid:20733628
fatcat:bezdfadjsrebfekwgh4es64zy4
Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art
2017
IEEE Geoscience and Remote Sensing Magazine
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 2018; you can also visit the original URL.
The file type is application/pdf.
This paper offers a comprehensive tutorial/overview focusing specifically on hyperspectral data analysis, which is categorized into seven broad topics: classification, spectral unmixing, dimensionality ...
Hence, rigorous and innovative methodologies are required for hyperspectral image and signal processing and have become a center of attention for researchers worldwide. ...
In addition, the authors would like to thank the National Center for Airborne Laser Mapping (NCALM) at the University of Houston for providing the CASI Houston data set, and the IEEE GRSS Image Analysis ...
doi:10.1109/mgrs.2017.2762087
fatcat:6ezzye7yyvacbouduqv2f2c7gi
« Previous
Showing results 1 — 15 out of 805 results