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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.  ...  INTRODUCTION The increasing availability of satellite remote sensing image series has considerably increased research interest in multi-temporal change detection applications such as land cover use and  ... 
doi:10.1117/12.2194319 fatcat:fkjhwmlddra65kjihwf5xlnbla

MINDtouch: Embodied Mobile Media Ephemeral Transference

Camille C. Baker
2013 Leonardo: Journal of the International Society for the Arts, Sciences and Technology  
Notions of presence, liveness and embodiment were connected and interwoven concepts, as each were about sensing others-whether in the room or across vast distance-in near-to-real-time [2].  ...  In this performative research project I developed a series of live, iterative and in-person participatory social events using mobile technologies.  ...  Notions of presence, liveness and embodiment were connected and interwoven concepts, as each were about sensing others-whether in the room or across vast distance-in near-to-real-time [2].  ... 
doi:10.1162/leon_a_00560 fatcat:zpudx5wphjg2jldeomkqvc7sei

HABNet: Machine Learning, Remote Sensing Based Detection of Harmful Algal Blooms

Paul Hill, Marouane Temimi, Anurag Kumar, David Bull
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
His research interests include image and video analysis, remote sensing, and machine learning. He taught several courses in water resources, remote sensing, and GIS.  ...  He established the Coastal and Environmental Sensing and Modeling (CESAM) Lab, which included more than ten scientists active in the field of remote sensing and numerical modeling. David R.  ...  ACKNOWLEDGMENT The authors would like to thank the FWC for the ground truth data in Florida and EAD (UAE) for the ground truth data in the Arabian Gulf.  ... 
doi:10.1109/jstars.2020.3001445 fatcat:doxdmwh33ffolcjtrizglcniqq

HABNet: Machine Learning, Remote Sensing Based Detection and Prediction of Harmful Algal Blooms [article]

P.R. Hill, A. Kumar, M. Temimi, D.R. Bull
2020 arXiv   pre-print
This paper describes the application of machine learning techniques to develop a state-of-the-art detection and prediction system for spatiotemporal events found within remote sensing data; specifically  ...  A HAB forecast system was also developed where a temporal subset of each datacube was used to predict the presence of a HAB in the future.  ...  The FWC for the ground truth data in Florida and EAD (UAE) for the ground truth data in the Arabian Gulf.  ... 
arXiv:1912.02305v2 fatcat:txx5yotw55bvrmptiqn6kit4um

INCORPORATING LAND-USE MAPPING UNCERTAINTY IN REMOTE SENSING BASED CALIBRATION OF LAND-USE CHANGE MODELS

K. Cockx, T. Van de Voorde, F. Canters, L. Poelmans, I. Uljee, G. Engelen, K. de Jong, D. Karssenberg, J. van der Kwast
2013 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Both the remote sensing data analysis to infer land use and the subsequent mode lling of land-use change are subject to uncertainties, which may have an impact on the accuracy of future land-use predictions  ...  Building urban growth models typically involves a process of historic calibration based on historic time series of land-use maps, usually obtained from satellite imagery.  ...  ACKNOWLEDGEMENTS The research presented in this paper was supported by the Belgian Science Policy Office in the frame of the STEREO II programme project 'Remote Sensing Data Assimilation in Modelling of  ... 
doi:10.5194/isprsarchives-xl-2-w1-7-2013 fatcat:4ilfy4yzdndnboobudznfn4f4e

A Logical Approach to Modal Verbs 1 Can and Could

Attila Imre
2017 Acta Universitatis Sapientiae: Philologica  
We argue that the concept of "remoteness" proposed by Lewis in 1986 may simplify enough the explanation regarding the relationship between can and could, and their presentation relies on authoritative  ...  The conclusion discusses both the importance and relativity of a number of occurrences (depending on different text types), trying to offer a possible teaching option for modals stemming from practice.  ...  TV series may be motivating enough to watch and check modal verb occurrences and frequency .  ... 
doi:10.1515/ausp-2017-0022 fatcat:p5thp7btbjci3mh5vy7m5rl2i4

Dynamic Monitoring of a Mid-Rise Building by Real-Aperture Radar Interferometer: Advantages and Limitations

Rodrigo E. Alva, Luis G. Pujades, Ramón González-Drigo, Guido Luzi, Oriol Caselles, Luis A. Pinzón
2020 Remote Sensing  
In this paper, remote and in situ techniques to estimate the dynamic response of a building to ambient vibration are reported: data acquired through a real-aperture radar (RAR) interferometer and conventional  ...  Further, the displacement–time histories, recorded with the RAR device pointing to a corner of the building, are analyzed.  ...  Figure 10 .Figure 10 . 1010 ContAs-recorded time series obtained by RAR remote sensing: (a) the complete recording; (b) a six-seccond fragment.  ... 
doi:10.3390/rs12061025 fatcat:k5677duwnbbotcaql2alyeay3q

Feature-Guided SAR-to-Optical Image Translation

Jiexin Zhang, Jianjiang Zhou, Xiwen Lu
2020 IEEE Access  
Specifically, in view of the diversity of structure features and texture features, VGG-19 network is used as the feature extractor in the task of cross-modal image translation.  ...  The powerful performance of Generative Adversarial Networks (GANs) in image-to-image translation has been well demonstrated in recent years.  ...  INTRODUCTION With the rapid development of aerial remote sensing technology, researches concerned with earth observation system and remote sensing technology used for monitoring the state of industry,  ... 
doi:10.1109/access.2020.2987105 fatcat:ccfnmc2m3jcrlceukei64js7nu

Page 427 of Mathematical Reviews Vol. , Issue 86a [page]

1986 Mathematical Reviews  
English summary); translated as Automat. Remote Control 45 (1984), no. 3, part 1, 277-288.  ...  427 93B Controllability, observability, and system structure at understanding genuinely nonlinear discrete time systems not “linearizable” in any sense.  ... 

'MINDtouch' – embodied ephemeral transference: Mobile media performance research

Camille C Baker
2011 International Journal of Performance Arts and Digital Media  
Through participation by in-person and remote interactors, creating mobile video streamed mixes, the project interweaves and embodies a daisy-chain of technologies through the network space.  ...  To practically investigate these concepts, a mobile media performance series was created, called MINDtouch.  ...  Some participants used their bodies in a range of expressive, non-verbal/ non-textual, gestural modalities that were translated into the visual mix.  ... 
doi:10.1386/padm.7.1.97_1 fatcat:npgcetunfbdrzdccn6z5s4djt4

Peek: A mobile-to-mobile remote computing protocol for smartphones and tablets

Uma Parthavi Moravapalle, Raghupathy Sivakumar
2016 2016 International Conference on Computing, Networking and Communications (ICNC)  
midstream and the results can be viewed in real time.  ...  In this context, we introduce Peek, a remote computing protocol with i) multitouch support, ii) context association, and iii) multi-modal frame compression.  ...  Remote computing allows users to connect to a device remotely, view its screen in real time and control applications on it, while being physically away from it.  ... 
doi:10.1109/iccnc.2016.7440689 dblp:conf/iccnc/MoravapalleS16 fatcat:tszejkcpfvfwthdo5tdtru64fm

Exploration in Mapping Kernel-Based Home Range Models from Remote Sensing Imagery with Conditional Adversarial Networks

Ruobing Zheng, Guoqiang Wu, Chao Yan, Renyu Zhang, Ze Luo, Baoping Yan
2018 Remote Sensing  
We use the conditional adversarial network as a supervised model to learn the home range mapping from time-series remote sensing imagery.  ...  In experiments, we illustrate our approach by mapping the home ranges of Bar-headed Geese in Qinghai Lake area.  ...  The data are time-series remote sensing imagery. The type of remote sensing imagery is decided by each specific wildlife home range analysis.  ... 
doi:10.3390/rs10111722 fatcat:iyw3zrtj65d6lmds5xycn3vlku

Foreword to the Special Issue on Machine Learning for Remote Sensing Data Processing

Devis Tuia, Erzsebet Merenyi, Xiuping Jia, Manuel Grana-Romay
2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Exploiting Temporal Information Analysis of data structured in time series is one of the challenging issues in remote sensing [59] .  ...  The availability of time series of images is a primary advantage of medium-resolution sensors such as MODIS or AVHRR.  ... 
doi:10.1109/jstars.2014.2311915 fatcat:xcw5elt57rbt7djlg2qhpscxgq

3Dlive: A Multi-Modal Sensing Platform Allowing Tele-Immersive Sports Applications

Stylianos Asteriadis, Petros Daras, Benjamin Poussard, Simon Richir, Dimitrios Zarpalas
2014 Zenodo  
Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal, 2014  ...  As mentioned above, it already incorporates a series of modules intending to, either directly or indirectly, contribute to the maximization of sense of co-existence with remote peers.  ...  INTRODUCTION Multi-modal sensing for motion analysis in Augmented Sports applications Since the beginning of the 2000s, Augmented Sports applications are witnessing an increasing success in different  ... 
doi:10.5281/zenodo.43849 fatcat:h6uiapny75hkfdzchdn4ov5doq

Deep learning in remote sensing applications: A meta-analysis and review

Lei Ma, Yu Liu, Xueliang Zhang, Yuanxin Ye, Gaofei Yin, Brian Alan Johnson
2019 ISPRS journal of photogrammetry and remote sensing (Print)  
A B S T R A C T Deep learning (DL) algorithms have seen a massive rise in popularity for remote-sensing image analysis over the past few years.  ...  This review covers nearly every application and technology in the field of remote sensing, ranging from preprocessing to mapping.  ...  This approach differs from the general time-series analysis approaches in the field of remote sensing.  ... 
doi:10.1016/j.isprsjprs.2019.04.015 fatcat:wheurssuyrdetfbzt3qex7lsba
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