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Recent Advances and New Guidelines on Hyperspectral and Multispectral Image Fusion
[article]
2020
arXiv
pre-print
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To tackle this problem,this work gives a comprehensive review and new guidelines for HSI-MSI fusion. ...
Image fusion is an effective and economical way to enhance the spatial resolution of HSI, which combines HSI with higher spatial resolution multispectral image (MSI) of the same scenario. ...
Deep CNN based HSI-MSI Fusion Recently, CNN has received more and more attention in many image processing applications due to its high efficiency and promising performance. ...
arXiv:2008.03426v1
fatcat:zlubq2zczjcb5jjzes7bfp6qi4
Development of a fusion approach selection tool
2015
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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It will optimize data and image fusion techniques. It provides an overview on the possible results from which the user can choose the best. ...
Image fusion can be a machine and time-consuming endeavour. In addition it requires knowledge about remote sensing, image fusion, digital image processing and the application. ...
However this may change now as new research is being conducted on the integration of hyperspectral images and LiDAR (Light Detection and Ranging) data with conventional remote sensing images. ...
doi:10.5194/isprsarchives-xl-7-w4-139-2015
fatcat:rrytx33kujbofiapte7sgw6iye
Remote sensing imagery in vegetation mapping: a review
2008
Journal of Plant Ecology
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Methods Specifically, this paper focuses on the comparisons of popular remote sensing sensors, commonly adopted image processing methods and prevailing classification accuracy assessments. ...
Increasing availability of remotely sensed images due to the rapid advancement of remote sensing technology expands the horizon of our choices of imagery sources. ...
Hyperspectral imagery and data fusion In recent years, more advanced methods reflecting the latest remote sensing techniques used in vegetation mapping are seen in literature. ...
doi:10.1093/jpe/rtm005
fatcat:z22ciuewtzctbdv34w5j5axpye
An updated survey on the use of geospatial technologies in New Zealand's plantation forestry sector
2020
New Zealand Journal of Forestry Science
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These included aerial imagery, multispectral imagery, hyperspectral imagery, and light detection and ranging (LiDAR). ...
Multispectral imagery, hyperspectral imagery and LiDAR data were acquired by 48%, 9% and 70% of companies, respectively. ...
technologies such as LiDAR or multispectral imaging. ...
doi:10.33494/nzjfs502020x118x
fatcat:ordiub2osnaspemiyafwp5i2z4
Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges
2019
Remote Sensing
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A wide range of studies is based on optical imagery (aerial photography, multispectral, and hyperspectral) and synthetic aperture radar (SAR) data. ...
This review provides an overview of the techniques that are currently being used to map various attributes of mangroves, summarizes the studies that have been undertaken since 2010 on a variety of remote ...
The APC was funded by the RIKEN Center for Advanced Intelligent Project (AIP), Japan.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs11030230
fatcat:xgxftojh5vdfhgkpqcwehgbkwa
Fusion Levels
[chapter]
2016
Remote Sensing Image Fusion
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We now have the new definitive state-of-the-art textbook on remote sensing image fusion. ...
The availability of these guidelines will help to identify bottlenecks, further develop image fusion techniques, make the best use of existing multimodal images, and provide new insights into Earth's processes ...
doi:10.1201/9781315370101-11
fatcat:jgjyqtml7zh7tjnk6jhp4mvqfu
Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry
2017
Remote Sensing
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Firstly, the advantages of hyperspectral data over RGB imagery and multispectral data are highlighted. ...
data processing and applications focusing both on agriculture and forestry-wherein the combination of UAV and hyperspectral sensors plays a center role-is presented in this paper. ...
to resolution improvement based on fusion of different parts of a hyperspectral imaging (HSI) cube, considering a cubes' different bands) and multisource data fusion (resolution improvement considering ...
doi:10.3390/rs9111110
fatcat:hfvvft56afbprjmgfqflizqgj4
Exploring Fusion Techniques for Satellite Image
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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With the advance in multispectral imaging, the use of image fusion has become a new and important research area. ...
Combination methods on satellite pictures empower us to break down various sorts of information like climate estimate, Forest Area, Identify Roads for Maps, Water Bodies and so on altogether. ...
Vimal Gupta for his excitement, support, tolerance, and all the accommodating discussions, and remarks on my content and over the span of this work. ...
doi:10.35940/ijitee.f1293.0486s419
fatcat:gxk55vo2wvgpxcmye75evp36oy
Working with Gaussian Random Noise for Multi-Sensor Archaeological Prospection: Fusion of Ground Penetrating Radar Depth Slices and Ground Spectral Signatures from 0.00 m to 0.60 m below Ground Surface
2019
Remote Sensing
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and 53 hyperspectral indices. ...
Recent studies have demonstrated that some fusion modelling can be achieved under ideal measurement conditions (e.g., simultaneously measurements in no hazy days) using advance regression models, like ...
Acknowledgments: The authors would like to thank the Eratosthenes Research Centre of the Department of Civil Engineering and Geomatics at the Cyprus University of Technology (www.cut.ac.cy) for its support ...
doi:10.3390/rs11161895
fatcat:7e6s2qft45g3jbqf5p7gsrgzca
A Review on the Use of Unmanned Aerial Vehicles and Imaging Sensors for Monitoring and Assessing Plant Stresses
2019
Drones
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This article presents a critical overview of the main advancements on the subject, focusing on the strategies that have been used to extract the information contained in the images captured during the ...
Based on the information found in more than 100 published articles and on our own research, a discussion is provided regarding the challenges that have already been overcome and the main research gaps ...
Data fusion combining two or even three types of sensors (multispectral, RGB, and thermal) has also been investigated [26] . ...
doi:10.3390/drones3020040
fatcat:33jjpgn6rnanxgrnu7235ooymy
Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets
2015
Biodiversity and Conservation
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Recognizing the imperative need for biodiversity protection, the Convention on Biological Diversity (CBD) has recently established new targets towards 2020, the so-called Aichi targets, and updated proposed ...
The advantages and limitations of different remote sensing data and algorithms are discussed. Sorting of the methods based on their reported accuracies is attempted, when possible. ...
On passive sensors, Belluco et al. (2006) evaluated a range of multispectral and hyperspectral ones, namely the airborne Reflective Optics System Imaging Spectrometer (RO-SIS), Compact Airborne Spectrographic ...
doi:10.1007/s10531-015-0947-z
fatcat:2fcszwqhp5dndktyqfkpwqqhx4
European perspectives in hyperspectral data analysis
2007
2007 IEEE International Geoscience and Remote Sensing Symposium
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In particular, the requirements related to the definition and implementation of an efficient, adequate and sufficiently general data processing chain for hyperspectral data analysis are considered. ...
This paper explains some of the the goals and objectives of the newly started HYPER-I-NET Marie Curie Research and Training Network. ...
ACKNOWLEDGMENTS The authors want to thank DLR for providing the DAIS urban hyperspectral data set used as an example in this work. ...
doi:10.1109/igarss.2007.4423933
dblp:conf/igarss/GambaPBC07
fatcat:5rcwbpojgvcy3fwz5jdhfe5isq
Visualization of Hyperspectral Images Using Bilateral Filtering
2010
IEEE Transactions on Geoscience and Remote Sensing
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This paper presents a new approach for hyperspectral image visualization. A bilateral filtering-based approach is presented for hyperspectral image fusion to generate an appropriate resultant image. ...
Index Terms-Bilateral filter, hierarchical fusion, hyperspectral imaging, image fusion, visualization. ...
ACKNOWLEDGMENT The authors would like to thank the reviewers for their constructive suggestions and the Bharti Centre for Communication for the logistic support. ...
doi:10.1109/tgrs.2009.2037950
fatcat:nwn5nwgl3vdadjs4siow37dzfe
Methods and Challenges Using Multispectral and Hyperspectral Images for Practical Change Detection Applications
2019
Information
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Multispectral (MS) and hyperspectral (HS) images have been successfully and widely used in remote sensing applications such as target detection, change detection, and anomaly detection. ...
In this paper, we aim at reviewing recent change detection papers and raising some challenges and opportunities in the field from a practitioner's viewpoint using MS and HS images. ...
Acknowledgments: C.K. would like to thank all the anonymous reviewers for their comments and suggestions, which greatly improved the quality of this paper. ...
doi:10.3390/info10110353
fatcat:kp67hz7znngbddskpjkz5lvy3e
Analysis of Unmanned Aerial System (UAS) Sensor Data for Natural Resource Applications: A Review
2022
Geographies
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In this review of literature published between 2016 and 2022, UAS applications in forestry, freshwater ecosystems, grasslands and shrublands, and agriculture were synthesized to discuss the status and ...
trends in UAS sensor data collection and processing. ...
As with other natural resource disciplines, more advanced sensors such as hyperspectral imagers were seldomly featured. ...
doi:10.3390/geographies2020021
fatcat:jcwfgyaomve6be6scds4p6dvqq
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