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Recent Advances and New Guidelines on Hyperspectral and Multispectral Image Fusion [article]

Renwei Dian, Shutao Li, Bin Sun, Anjing Guo
2020 arXiv   pre-print
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

C. Pohl, Y. Zeng
2015 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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

Y. Xie, Z. Sha, M. Yu
2008 Journal of Plant Ecology  
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

Sarah De Gouw, Justin Morgenroth, Cong Xu
2020 New Zealand Journal of Forestry Science  
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

Tien Pham, Naoto Yokoya, Dieu Bui, Kunihiko Yoshino, Daniel Friess
2019 Remote Sensing  
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  
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

Telmo Adão, Jonáš Hruška, Luís Pádua, José Bessa, Emanuel Peres, Raul Morais, Joaquim Sousa
2017 Remote Sensing  
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

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

Agapiou, Sarris
2019 Remote Sensing  
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 ( 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

Jayme Garcia Arnal Barbedo
2019 Drones  
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

Zisis I. Petrou, Ioannis Manakos, Tania Stathaki
2015 Biodiversity and Conservation  
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

Paolo Gamba, Antonio J. Plaza, Jon A. Benediktsson, Jocelyn Chanussot
2007 2007 IEEE International Geoscience and Remote Sensing Symposium  
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

Ketan Kotwal, Subhasis Chaudhuri
2010 IEEE Transactions on Geoscience and Remote Sensing  
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

Chiman Kwan
2019 Information  
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

Benjamin T. Fraser, Christine L. Bunyon, Sarah Reny, Isabelle Sophia Lopez, Russell G. Congalton
2022 Geographies  
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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