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Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery [article]

Can Yaras and Bohao Huang and Kyle Bradbury and Jordan M. Malof
2021 arXiv   pre-print
To overcome this problem, we propose a simple real-time unsupervised training augmentation technique, termed randomized histogram matching (RHM).  ...  RHM also offers substantially better performance than other comparably simple approaches that are widely-used in overhead imagery.  ...  Randomized Histogram Matching (RHM) To overcome this problem we propose a simple augmentation technique, termed randomized histogram matching (RHM), that matches the histogram of each training image to  ... 
arXiv:2104.14032v2 fatcat:fvw5slajenfwjam5cxij2t4xn4

GisGCN: A Visual Graph-Based Framework to Match Geographical Areas through Time

Margarita Khokhlova, Nathalie Abadie, Valérie Gouet Brunet, Liming Chen
2022 ISPRS International Journal of Geo-Information  
Historical visual sources are particularly useful for reconstructing the successive states of the territory in the past and for analysing its evolution.  ...  Geographic entities in the vertical aerial images are thought of as nodes in a graph, linked to each other by edges representing their spatial relationships.  ...  IOU histograms for matching graph geographic areas obtained for Meurthe-en-Moselle department. If all the nodes attributes match exactly (injective matching) across graphs, the IOU value will be 1.  ... 
doi:10.3390/ijgi11020097 fatcat:ki42hxfyovd7lkzob7xkduknzy

A Method for Vehicle Detection in High-Resolution Satellite Images that Uses a Region-Based Object Detector and Unsupervised Domain Adaptation

Yohei Koga, Hiroyuki Miyazaki, Ryosuke Shibasaki
2020 Remote Sensing  
To address this problem, we propose an unsupervised domain adaptation (DA) method that does not require labeled training data, and thus can maintain detection performance in the target domain at a low  ...  Recently, object detectors based on deep learning have become widely used for vehicle detection and contributed to drastic improvement in performance measures.  ...  Acknowledgments: The aerial images used in this paper were provided by NTT Geospace (http://www.nttgeospace.co.jp/). Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12030575 fatcat:vtommlr5xzdvvfhdc4smyh6hky

Automatic Association of Chats and Video Tracks for Activity Learning and Recognition in Aerial Video Surveillance

Riad Hammoud, Cem Sahin, Erik Blasch, Bradley Rhodes, Tao Wang
2014 Sensors  
VIVA and MINER examples are demonstrated for wide aerial/overhead imagery over common data sets affording an improvement in tracking from video data alone, leading to 84% detection with modest misdetection  ...  VIVA utilizes analyst call-outs (ACOs) in the form of chat messages (voice-to-text) to associate labels with video target tracks, to designate spatial-temporal activity boundaries and to augment video  ...  The authors would like to thank Adnan Bubalo (AFRL), Robert Biehl, Brad Galego, Helen Webb and Michael Schneider (BAE Systems) for their support.  ... 
doi:10.3390/s141019843 pmid:25340453 pmcid:PMC4239870 fatcat:ony3ylej4nhzxbnap2zide3kwi

State-of-the-Art in the Architecture, Methods and Applications of StyleGAN [article]

Amit H. Bermano and Rinon Gal and Yuval Alaluf and Ron Mokady and Yotam Nitzan and Omer Tov and Or Patashnik and Daniel Cohen-Or
2022 arXiv   pre-print
It aims to be of use for both newcomers, who wish to get a grasp of the field, and for more experienced readers that might benefit from seeing current research trends and existing tools laid out.  ...  Of these, StyleGAN offers a fascinating case study, owing to its remarkable visual quality and an ability to support a large array of downstream tasks.  ...  texts. perform single-shot domain adaptation by matching the reference image in the target domain with a corresponding synthesized image from the source domain, obtained through latent space optimization  ... 
arXiv:2202.14020v1 fatcat:qu3plbdnszdujcwxwq3zizysje

Integrating language models into classifiers for BCI communication: a review

W Speier, C Arnold, N Pouratian
2016 Journal of Neural Engineering  
While these methods have been used for years in traditional augmentative and assistive communication (AAC) devices, information about the output domain has largely been ignored in BCI communication systems  ...  In the RSVP speller, however, the user focuses on the center of the screen where characters appear in a random sequence.  ...  Acknowledgments This work was supported by the National Institute of Biomedical Imaging and Bioengineering Award Number K23EB014326 (NP) and the UCLA Scholars in Translational Medicine Program (NP).  ... 
doi:10.1088/1741-2560/13/3/031002 pmid:27153565 pmcid:PMC5495144 fatcat:ojnc2ywspzafhdjli3e4xc7gei

Structural Prior Driven Regularized Deep Learning for Sonar Image Classification [article]

Isaac D. Gerg, Vishal Monga
2020 arXiv   pre-print
Deep learning has been recently shown to improve performance in the domain of synthetic aperture sonar (SAS) image classification.  ...  Despite deep learning's recent success, there are still compelling open challenges in reducing the high false alarm rate and enabling success when training imagery is limited, which is a practical challenge  ...  ACKNOWLEDGMENTS The authors would like to thank the NATO Centre for Maritime Research & Experimentation (CMRE) for providing the data used in this work.  ... 
arXiv:2010.13317v1 fatcat:zsaqtwpthbhivpio6jqcg7g5tq

ContextDesc: Local Descriptor Augmentation with Cross-Modality Context [article]

Zixin Luo, Tianwei Shen, Lei Zhou, Jiahui Zhang, Yao Yao, Shiwei Li, Tian Fang, Long Quan
2019 arXiv   pre-print
both strong practicality and generalization ability in geometric matching applications.  ...  In this paper, we go beyond the local detail representation by introducing context awareness to augment off-the-shelf local feature descriptors.  ...  instead of a random coordinate pairs) for outlier rejection in image matching.  ... 
arXiv:1904.04084v1 fatcat:gd2pe42w75bbjazhw33z4pwiwe

Applied Imagery Pattern Recognition 2011

2011 2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  
Again and again, we see that for some problems these computer methods are more sensitive, more perceptive, than even a trained artist or art historian, at least for a handful of problems.  ...  For instance, visual psychologists have shown that most of us trained art scholars and artists included-are not particularly good at judging perspective or the location of illumination in a photograph,  ...  These augmented random decision trees enable fa st construction of reliable, mission-specific training data.  ... 
doi:10.1109/aipr.2011.6176381 fatcat:7bbefbxrnnfjvdtun4zixrckjy

A review of EO image information mining [article]

Marco Quartulli, Igor G. Olaizola
2012 arXiv   pre-print
We analyze the state of the art of content-based retrieval in Earth observation image archives focusing on complete systems showing promise for operational implementation.  ...  The approaches taken are analyzed, focusing in particular on the phases after primitive feature extraction.  ...  representative example for the proposed workflow from remote sensing imagery to GIS.  ... 
arXiv:1203.0747v2 fatcat:nwiylcsdrnhthi753xcxwxgo7e

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

Xiao Xiang Zhu, Devis Tuia, Lichao Mou, Gui-Song Xia, Liangpei Zhang, Feng Xu, Friedrich Fraundorfer
2017 IEEE Geoscience and Remote Sensing Magazine  
simple to start with.  ...  In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields. Shall we embrace deep learning as the key to all?  ...  SARptical is a unique data set for SAR and optical image matching in dense urban areas.  ... 
doi:10.1109/mgrs.2017.2762307 fatcat:ec7b32lpdnhvzbdz2uoayw6anq

Image retrieval

Ritendra Datta, Dhiraj Joshi, Jia Li, James Z. Wang
2008 ACM Computing Surveys  
We also discuss significant challenges involved in the adaptation of existing image retrieval techniques to build systems that can be useful in the real-world.  ...  We have witnessed great interest and a wealth of promise in content-based image retrieval as an emerging technology.  ...  As a result, the overhead for a user in specifying what she is looking for at the beginning of a search is much reduced.  ... 
doi:10.1145/1348246.1348248 fatcat:5jbcrsxkkbac5cya3zb7eb22ea

Unfolding the Restrained Encountered in Hyperspectral Images

2019 International journal of recent technology and engineering  
We reiterate our main focus in this article on providing the various challenges existing relating to HSI and a case study of the current solutions provided for each.  ...  For a single scene, the hyperspectral images (HSI) are composed of hundreds of channels of spectral data.  ...  Small Number of Labelled Samples For classification purposes, to augment and increase the size of training samples, semi-supervised [24] and domain adaptation/transductive learning [56] , approaches  ... 
doi:10.35940/ijrte.b1763.078219 fatcat:cgdtvtrzbzaylm4eowtog52x3m

Image Enhancement Driven by Object Characteristics and Dense Feature Reuse Network for Ship Target Detection in Remote Sensing Imagery

Ling Tian, Yu Cao, Bokun He, Yifan Zhang, Chu He, Deshi Li
2021 Remote Sensing  
As the application scenarios of remote sensing imagery (RSI) become richer, the task of ship detection from an overhead perspective is of great significance.  ...  performance for target detection tasks; on the other hand, upsampling or pooling operations result in the loss of detailed information in the features, and the CNN with outstanding results are often accompanied  ...  CoGAN [40] is a model that is also suitable for unpaired images, using two shared weight generators to generate images in two domains with random noise.  ... 
doi:10.3390/rs13071327 fatcat:phazoirsb5cfbajmwnbldx25lu

A Review of Environmental Context Detection for Navigation Based on Multiple Sensors

Florent Feriol, Damien Vivet, Yoko Watanabe
2020 Sensors  
quality (GNSS in urban canyons for instance or camera-based navigation in a non-textured environment).  ...  Thus, it is important firstly to define this concept of context for navigation and to find a way to extract it from available information.  ...  Thanks for the feedback of the different reviewers and the help of MDPI concerning the paper formatting. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20164532 pmid:32823560 fatcat:zqewbmjyd5c55mycnj7qg3by6e
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