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An improved mutual information similarity measure for registration of multi-modal remote sensing images

Maha Shadaydeh, Tamas Sziranyi, Lorenzo Bruzzone
2015 Image and Signal Processing for Remote Sensing XXI  
Registration of multi-modal remote sensing images is an essential and challenging task in different remote sensing applications such as image fusion and multi-temporal change detection.  ...  We have compared the proposed method with the conventional MI and Normalized MI methods for registration of pairs of multi-temporal multi-modal remote sensing images.  ...  We then compare the performance of the proposed WJH-MI and WJH-NMI methods with the conventional MI and NMI methods for registration of multi-modal multi-temporal remote sensing image pairs.  ... 
doi:10.1117/12.2194319 fatcat:fkjhwmlddra65kjihwf5xlnbla

Pattern Recognition in Remote Sensing

Selim Aksoy, Nicolas H. Younan, Lorenzo Bruzzone
2010 Pattern Recognition Letters  
, multi-modal, multi-resolution, and multi-temporal remote sensing data sets.  ...  The first part of the special issue contains contributions related to object detection techniques designed for different types of remote sensing data.  ... 
doi:10.1016/j.patrec.2010.04.014 fatcat:jwx6imthxjfg7aakkeu4fpjtlu

Multimodal Remote Sensing Image Registration Methods and Advancements: A Survey

Xinyue Zhang, Chengcai Leng, Yameng Hong, Zhao Pei, Irene Cheng, Anup Basu
2021 Remote Sensing  
With rapid advancements in remote sensing image registration algorithms, comprehensive imaging applications are no longer limited to single-modal remote sensing images.  ...  Instead, multi-modal remote sensing (MMRS) image registration has become a research focus in recent years.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13245128 fatcat:lnf5vmninzc75fuabw4ssucm34

Improved Registration of Infrared Images Using EOH Descriptor [chapter]

P. Sita Sowjanya, B. Sandhya, J. Prasanna Kumar
2020 Lecture Notes in Networks and Systems  
Multi modal image registration is useful in a variety of applications as the unique information contained in diverse images can be combined.  ...  Feature based image registration involves overlaying two images of the same area by extracting features, matching and computing geometric transformation.  ...  Table1 lists some of the research proposed in the area of multi modal/multi spectral image matching.  ... 
doi:10.1007/978-981-15-3338-9_13 fatcat:wxxswtlzhfhcjbspj2asspbagu

MS-HLMO: Multi-scale Histogram of Local Main Orientation for Remote Sensing Image Registration [article]

Chenzhong Gao, Wei Li, Ran Tao, Qian Du
2022 arXiv   pre-print
Considering the characteristics and differences of multi-source remote sensing images, a feature-based registration algorithm named Multi-scale Histogram of Local Main Orientation (MS-HLMO) is proposed  ...  Multi-source image registration is challenging due to intensity, rotation, and scale differences among the images.  ...  CONCLUSIONS In this paper, an image registration algorithm has been proposed for multi-source remote sensing image registration.  ... 
arXiv:2204.00260v1 fatcat:6izjxnpa6vekvejo3bwwk7jwzm

Hybrid image registration methods: A Review

Taruna Kumari
2020 International Journal of Advanced Trends in Computer Science and Engineering  
Different areas of image processing like computer vision, remote sensing and medical image analysis have different methods for image registration along with different challenges associated with individuals  ...  This paper aims to present the survey of methods and methodologies available in context to image registration techniques according to a hybrid approach used to get images registered.  ...  Mutual information as a common data will be used to register multi modal enrollment in [23] .  ... 
doi:10.30534/ijatcse/2020/36922020 fatcat:e4xfrhjz3rfclbn35darnk7wve

MU-NET: A MULTISCALE UNSUPERVISED NETWORK FOR REMOTE SENSING IMAGE REGISTRATION

T. Tang, T. Chen, B. Zhu, Y. Ye
2022 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Registration for multi-sensor or multi-modal image pairs with a large degree of distortions is a fundamental task for many remote sensing applications.  ...  In addition, a novel loss function paradigm is designed based on structural similarity, which makes MU-Net suitable for various types of multi-modal images.  ...  From traditional to deep learning (DL) techniques, many inspiring methods for image registration have been developed in the remote sensing community.  ... 
doi:10.5194/isprs-archives-xliii-b3-2022-537-2022 fatcat:nfvmgsdb5bdfxltc7ij4a5cqbm

Challenges and Opportunities of Multimodality and Data Fusion in Remote Sensing

M. Dalla Mura, S. Prasad, F. Pacifici, P. Gamba, J. Chanussot, J. A. Benediktsson
2015 Proceedings of the IEEE  
Remote sensing is one of the most common ways to extract relevant information about the Earth and our environment.  ...  This is done by leveraging the outcomes of the Data Fusion contests, organized by the IEEE Geoscience and Remote Sensing Society since 2006.  ...  multi-modal remote sensing images can offer.  ... 
doi:10.1109/jproc.2015.2462751 fatcat:cyaxiwfjqbdqzefhjgta5fivee

Transformers in Remote Sensing: A Survey [article]

Abdulaziz Amer Aleissaee, Amandeep Kumar, Rao Muhammad Anwer, Salman Khan, Hisham Cholakkal, Gui-Song Xia, Fahad Shahbaz khan
2022 arXiv   pre-print
Deep learning-based algorithms have seen a massive popularity in different areas of remote sensing image analysis over the past decade.  ...  Our survey covers more than 60 recent transformers-based methods for different remote sensing problems in sub-areas of remote sensing: very high-resolution (VHR), hyperspectral (HSI) and synthetic aperture  ...  REMOTE SENSING IMAGING DATA Remote sensing imagery is generally acquired from a range of sources as well as data collection techniques.  ... 
arXiv:2209.01206v1 fatcat:luchmgyyord5nnjthywqszyj6q

MRSSC: A BENCHMARK DATASET FOR MULTIMODAL REMOTE SENSING SCENE CLASSIFICATION

K. Liu, A. Wu, X. Wan, S. Li
2021 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Scene classification based on multi-source remote sensing image is important for image interpretation, and has many applications, such as change detection, visual navigation and image retrieval.  ...  This dataset will fill the gap between remote sensing scene classification between different image sources, and paves the way for a generalized image classification model for multi-modal earth observation  ...  ACKNOWLEDGEMENTS The work is supported by the Open Research Fund of National Earth Observation Data Center (No.NODAOP2020012).  ... 
doi:10.5194/isprs-archives-xliii-b2-2021-785-2021 fatcat:uxrppe7rifgqpodtkgzzqnkg5m

Multi-modal Registration using a Block-wise Coarse-to-fine Approach

Muhammad Tariq Mahmood, Ik Hyun Lee
2020 IEEE Access  
Multi-modal registration is a fundamental problem in medical imaging, remote sensing and computer vision applications.  ...  Conventional approaches for registering multi-modal images suffer from limited correct matched points, high computational cost and poor registration accuracy.  ...  INTRODUCTION Image registration is an important step in medical imaging, remote sensing and image fusion systems.  ... 
doi:10.1109/access.2020.2987362 fatcat:2qptwgqninhtbc4kdkol2sreba

An investigation towards wavelet based optimization of automatic image registration techniques [article]

Arun P. V., Dr. S.K. Katiyar
2013 arXiv   pre-print
Image registration is the process of transforming different sets of data into one coordinate system and is required for various remote sensing applications like change detection, image fusion, and other  ...  The effect of increased relief displacement, requirement of more control points, and increased data volume are the challenges associated with the registration of high resolution image data.  ...  The MI technique is appropriate for the multi modal registration however it is having the disadvantages of area based methods and can be improved by wavelet based optimization.  ... 
arXiv:1303.6927v1 fatcat:a5i6r7cmcvdgdcqpfpaf5q5inq

Comparative Analysis of Image Registration for Printed Circuit Boards

Beant Kaur, Gurmeet Kaur, Amandeep Kaur
2017 International Journal of Engineering and Technology  
This paper aims to present comparative analysis of different image registration techniques for automated inspection of Printed Circuit Boards.  ...  The major goal of this paper is to provide a comparative analysis of image registration techniques used for automated inspection of Printed circuit boards.  ...  Ezzeldeen at al. presented comparative study for image registration techniques of remote sensing images.  ... 
doi:10.21817/ijet/2017/v9i3/1709030250 fatcat:whuzg3s7qzhmvjmr6imr7uunxu

Drone-Enabled Multimodal Platform for Inspection of Industrial Components

Parham Nooralishahi, Fernando Lopez, Xavier P. V. Maldague
2022 IEEE Access  
Additionally, the system presents a multi-modal fusion technique to form RGBD&T data containing thermal and texture information of the obtained 3D view.  ...  In the rise of recent advancements in unmanned aerial vehicles, many studies have focused on using multi-modal platforms for remote inspection of industrial and construction sites.  ...  ACKNOWLEDGMENT Special thanks to TORNGATS Company, especially Frédéric Lajoie and Pierre Delisle, for their support in testing and manufacturing of the parts.  ... 
doi:10.1109/access.2022.3167393 fatcat:x3aw4ijuzbaardul72elugh2cq

Fusion of multiple image types for the creation of radiometrically-accurate synthetic scenes

Stephen R. Lach
2009 Journal of Applied Remote Sensing  
The Digital Imaging and Remote Sensing Image Generation (DIRSIG) model is an established, first-principles based scene simulation tool that produces synthetic multi-spectral and hyperspectral images from  ...  This paper presents a description of these techniques.  ...  Digital Imaging and Remote Sensing group at RIT for their continued assistance with this project.  ... 
doi:10.1117/1.3075896 fatcat:6x7jakiofrdx7ofikxb2ekroua
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