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Distance-Dependent Multimodal Image Registration for Agriculture Tasks

Ron Berenstein, Marko Hočevar, Tone Godeša, Yael Edan, Ohad Ben-Shahar
2015 Sensors  
This research focuses on developing a practical method for automatic image registration for agricultural systems that use multimodal sensory systems and operate in natural environments.  ...  distance-dependent functions.  ...  Acknowledgments This research was partially supported by the Helmsley Charitable Trust through the Agricultural, Biological and Cognitive Robotics Initiative, by the Rabbi W.  ... 
doi:10.3390/s150820845 pmid:26308000 pmcid:PMC4570450 fatcat:yvgofmigavdnhh2eqygmnyxl6a

Registration and Fusion of Close-Range Multimodal Wheat Images in Field Conditions

Sébastien Dandrifosse, Alexis Carlier, Benjamin Dumont, Benoît Mercatoris
2021 Remote Sensing  
The aim of this paper is to provide a solution to the registration and fusion of multimodal wheat images in field conditions and at close range.  ...  Multimodal images fusion has the potential to enrich the information gathered by multi-sensor plant phenotyping platforms.  ...  Acknowledgments: The authors thank the research and teaching support units Agriculture Is Life and Environment Is Life of TERRA Teaching and Research Centre, University of Liège for giving access to the  ... 
doi:10.3390/rs13071380 fatcat:jnyiqszctjbolbuhaoechejfua

A Review of Image Registration Methods in Medical Imaging

Leeba John, Lissa John
2019 International Journal of Computer Applications  
The aim of this paper is to provide a source for the researchers involved in Image Registration as well as Medical Image Fusion used in diverse applications.  ...  By combining more than one image obtained from different medical imaging modalities, experts can achieve better image visualization for different human anatomy.  ...  It is highly reliable and effective method of the multimodal images registration.  ... 
doi:10.5120/ijca2019918884 fatcat:kjiqamp2kfhi3mgoha3nkjxtwa

A Fast and Robust Matching Framework for Multimodal Remote Sensing Image Registration [article]

Yuanxin Ye, Lorenzo Bruzzone, Jie Shan, Francesca Bovolo, Qing Zhu
2018 arXiv   pre-print
Moreover, we design an automatic registration system for very large-size multimodal images based on the proposed framework.  ...  While image registration has been studied in remote sensing community for decades, registering multimodal data [e.g., optical, light detection and ranging (LiDAR), synthetic aperture radar (SAR), and map  ...  Hence, a fast and robust automatic registration system for multimodal remote sensing images is highly desired in practice.  ... 
arXiv:1808.06194v4 fatcat:qemt4me2ljd7hebgxbtakkf6zm

AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming

Ciro Potena, Raghav Khanna, Juan Nieto, Roland Siegwart, Daniele Nardi, Alberto Pretto
2019 IEEE Robotics and Automation Letters  
In this paper we propose AgriColMap, a novel map registration pipeline that leverages a grid-based multimodal environment representation which includes a vegetation index map and a Digital Surface Model  ...  We evaluate our system using real world data for 3 fields with different crop species.  ...  Frank Liebisch from the Crop Science Group at ETH Zürich for helpful discussions.  ... 
doi:10.1109/lra.2019.2894468 fatcat:feoprvp4bresrfua6jm26cwi64

Robust Local Structure Visualization for Remote Sensing Image Registration

Jiaxuan Chen, Shuang Chen, Yuyan Liu, Xiaoxian Chen, Yang Yang, Yungang Zhang
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Image registration is a fundamental and important task in remote sensing. In this article, we focus on feature-based image registration.  ...  To demonstrate the robustness of our strategy for image registration, extensive experiments on various real remote sensing images for feature matching are conducted and compared against nine state-of-the-art  ...  Lowe, Su Zhang, Jiayi Ma, Shuicheng Yan, Xiangru Li, and Hairong Liu for providing their implementation source codes and experimental datasets, which facilitate the comparison experiments greatly.  ... 
doi:10.1109/jstars.2021.3050459 fatcat:zj7rfvajlbdrnn7nhj4uje4yai

Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data

Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
2016 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
The developed framework exploits the relation between the registration and change detection problems, while under a fruitful synergy the coupling energy term constrains adequately both tasks.  ...  In this paper we propose a modular, scalable, metric-free, single-shot change detection/registration method.  ...  ACKNOWLEDGMENT We would like to thank the anonymous reviewers for their constructive comments and suggestions.  ... 
doi:10.1109/jstars.2016.2557081 fatcat:3kjesmspiveqvlgqew5khzwlty

Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network

Mykhail Uss, Benoit Vozel, Vladimir Lukin, Kacem Chehdi
2022 Sensors  
Finding putative correspondences between a pair of images is an important prerequisite for image registration.  ...  In complex cases such as multimodal registration, a true match could be less plausible than a false match within a search zone.  ...  In the field of remote sensing, the most challenging case is multimodal registration when two images represent different modalities, e.g., optical and radar images [5] [6] [7] .  ... 
doi:10.3390/s22031231 pmid:35161976 pmcid:PMC8838932 fatcat:ohj3dpq2rndclhki6kxp7pstri

Multimodal Remote Sensing Image Registration With Accuracy Estimation at Local and Global Scales

Mikhail L. Uss, Benoit Vozel, Vladimir V. Lukin, Kacem Chehdi
2016 IEEE Transactions on Geoscience and Remote Sensing  
Thus, the RAE method can identify image areas for which a predefined registration accuracy is guaranteed.  ...  At the local scale of image fragments, the Cramer-Rao lower bound (CRLB) on registration error is estimated for each local correspondence between coarsely registered pair of images.  ...  We also recall existing approaches for multimodal image registration and reported accuracy of such methods.  ... 
doi:10.1109/tgrs.2016.2587321 fatcat:py2l6mulmzbs7ft5tcfqz6n3lm

Accuracy improvement and evaluation measures for registration of multisensor remote sensing imagery

Deniz Gerçek, Davut Çeşmeci, Mehmet Kemal Güllü, Alp Ertürk, Sarp Ertürk
2012 Journal of Geodesy and Geoinformation  
Accordingly, for images that are compared through translation of image templates, position where similarity measure is maximized is assumed to indicate best registration.  ...  Intensity based image registration methods are widely used in fine geometric registration of multisensor images.  ...  However it should be noted that evaluations on accuracy of image registration is a nontrivial task.  ... 
doi:10.9733/jgg.251212.1 fatcat:up553tpwr5frvcs64mwrpmnsh4

Challenges And Opportunities Of Multimodality And Data Fusion In Remote Sensing

Jocelyn Chanussot, Mauro Dalla Mura, P. Gamba, Fabio Pacifici, Saurabh Prasad
2014 Zenodo  
For example, by considering a fusion between a SAR and an optical image, the position in a SAR image of the contributions of the objects in a scene is dependent on their distance to the sensor whereas  ...  Indeed, for some tasks and application it is the sole mean to perform the analysis.  ... 
doi:10.5281/zenodo.43976 fatcat:pgdxkmjoxzbojnlzznlk57ynga

Building an Aerial-Ground Robotics System for Precision Farming [article]

Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya Fleckenstein, Alessandra Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes (+16 others)
2020 arXiv   pre-print
We then introduce the navigation and mapping systems tailored to our robots in the agricultural environment, as well as the modules for collaborative mapping.  ...  The application of autonomous robots in agriculture is gaining increasing popularity thanks to the high impact it may have on food security, sustainability, resource use efficiency, reduction of chemical  ...  Pipeline for performing long-term registration of UAV images of crop fields.  ... 
arXiv:1911.03098v2 fatcat:gcmmlqqzuvg4flxforwbinrtkq

Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions [article]

Anil Rahate, Rahee Walambe, Sheela Ramanna, Ketan Kotecha
2021 arXiv   pre-print
Multimodal deep learning systems which employ multiple modalities like text, image, audio, video, etc., are showing better performance in comparison with individual modalities (i.e., unimodal) systems.  ...  Our final goal is to discuss challenges and perspectives along with the important ideas and directions for future work that we hope to be beneficial for the entire research community focusing on this exciting  ...  Knowledge transfer and knowledge distillation approaches are typically used to handle missing modalities for multisensory data using image registration.  ... 
arXiv:2107.13782v2 fatcat:s4spofwxjndb7leqbcqnwbifq4

Geospatial Correspondences for Multimodal Registration

Diego Marcos, Raffay Hamid, Devis Tuia
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
We incorporate this representation in a Markov Random Field to simultaneously account for nonlinear mis-registrations and enforce locality priors to find matches between multi-sensor images.  ...  We show how our approach can be used to assist in several multimodal land-cover update and change detection problems.  ...  This sensor invariance allows to use these features for multimodal image registration.  ... 
doi:10.1109/cvpr.2016.550 dblp:conf/cvpr/GonzalezHT16 fatcat:3qpbc6iezbgy3kbggthlhjf5xy

Analysis, Modeling and Multi-Spectral Sensing for the Predictive Management of Verticillium Wilt in Olive Groves

Kostas Blekos, Anastasios Tsakas, Christos Xouris, Ioannis Evdokidis, Dimitris Alexandropoulos, Christos Alexakos, Sofoklis Katakis, Andreas Makedonas, Christos Theoharatos, Aris Lalos
2021 Journal of Sensor and Actuator Networks  
However, for their efficient implementation the above methodologies require the marking of trees in the early stages of infestation—a task that is impractical with traditional means (manual labor) but  ...  autonomous and automatic processing of the multispectral images using computer vision and machine learning techniques.  ...  More specifically, MyOGC employs a distance-based algorithm, in the four dimensional multimodal space, that estimates the probability that an image region belongs to a tree.  ... 
doi:10.3390/jsan10010015 fatcat:5aeu46myhvhznkbccp733kisei
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