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Unsupervised Multitemporal Building Change Detection Framework Based on Cosegmentation Using Time-Series SAR

Kaiyu Zhang, Xikai Fu, Xiaolei Lv, Jili Yuan
2021 Remote Sensing  
Building change detection using remote sensing images is essential for various applications such as urban management and marketing planning.  ...  Secondly, the proposed cosegmentation and the morphological building index (MBI) are combined to extract changed building objects.  ...  Acknowledgments: The authors would like to thank Giovanni Chierchia et al. for the open source of executable codes for the MSAR-BM3D method on their homepage.  ... 
doi:10.3390/rs13030471 fatcat:gpwp3owkzbdvfnuacgao3fyfi4

Remote Sensing Image Change Detection Using Superpixel Cosegmentation

Ling Zhu, Jingyi Zhang, Yang Sun
2021 Information  
The application of cosegmentation in remote sensing image change detection can effectively overcome the salt and pepper phenomenon and generate multitemporal changing objects with consistent boundaries  ...  However, each pixel in the minimum cut/maximum flow algorithm for cosegmentation change detection is regarded as a node in the network flow diagram.  ...  Data Availability Statement: The data presented in this study are available on request from the corresponding author. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/info12020094 fatcat:g6w4y2g5cnfw3bqnc44swj5uvm

Using Eco-Geographical Zoning Data and Crowdsourcing to Improve the Detection of Spurious Land Cover Changes

Ling Zhu, Dejun Gao, Tao Jia, Jingyi Zhang
2021 Remote Sensing  
To address problems in remote sensing image change detection, this study proposes a method for identifying spurious changes based on an eco-geographical zoning knowledge base and crowdsourced data mining  ...  We selected the northern part of Laos as the experimental area and the Chinese GF-1 Wide Field View (WFV) images for change detection to verify the effectiveness of the method.  ...  To remove the false change in vegetation resulting from building shadows caused by the shooting angle and sunlight in urban high-resolution aerial change detection, Zhou et al.  ... 
doi:10.3390/rs13163244 fatcat:fi26otw4knam3iyqr7dtonbd7e

Improving Building Change Detection in VHR Remote Sensing Imagery by Combining Coarse Location and Co-Segmentation

Jie Chen, Haifei Liu, Jialiang Hou, Minhua Yang, Min Deng
2018 ISPRS International Journal of Geo-Information  
Building change detection based on remote sensing imagery is a significant task for urban construction, management, and planning.  ...  In this study, an effective approach is proposed for the detection of individual changed buildings.  ...  However, object-based building change detection from VHR remote sensing images are constrained by certain limitations that are mainly associated with mixed or diverse objects.  ... 
doi:10.3390/ijgi7060213 fatcat:hihmhfrckzg5jjytahhhipa7qu

Airplane Type Identification Based on Mask RCNN and Drone Images [article]

W.T Alshaibani, Mustafa Helvaci, Ibraheem Shayea, Sawsan A. Saad, Azizul Azizan, Fitri Yakub
2021 arXiv   pre-print
For dealing with traffic bottlenecks at airports, aircraft object detection is insufficient.  ...  The key feature employed to identify the type of airplane is the surface area calculated based on the results of airplane detection.  ...  The R-CNN-Based Ship Detection from High Resolution applies R-CNN for ships detection using high resolution images [34]. 3 Lei et al.  ... 
arXiv:2108.12811v1 fatcat:llv4zg4d5rbkvlfbn4o47hqnqm

Airplane Detection Based on Mask Region Convolution Neural Network [article]

W.T. Alshaibani, Mustafa Helvaci, Ibraheem Shayea, Hafizal Mohamad
2021 arXiv   pre-print
Addressing airport traffic jams is one of the most crucial and challenging tasks in the remote sensing field, especially for the busiest airports.  ...  This paper provides a universal, low cost and fast solution for airplane detection in airports.  ...  Sun et al. offered a detection framework based on spatial sparse coding bag-of-words to solve target detection for complex shapes in high-resolution remote sensing images.  ... 
arXiv:2108.12817v1 fatcat:6aa7uughvfhyvmzslnv6qj2n54

SUPERPIXEL CUT FOR FIGURE-GROUND IMAGE SEGMENTATION

Michael Ying Yang, Bodo Rosenhahn
2016 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
It recovers coherent components of images, providing a set of multiscale hypotheses for high-level reasoning.  ...  user inputs or object models.  ...  It recovers coherent components of images, corresponding to objects, object parts, and objects with surrounding context, providing a set of multiscale hypotheses for high-level reasoning.  ... 
doi:10.5194/isprsannals-iii-3-387-2016 fatcat:x64dehs5qzevtnfychb6vd5qpu

A Generic Framework for Combining Multiple Segmentations in Geographic Object-Based Image Analysis

Sébastien Lefèvre, David Sheeren, Onur Tasar
2019 ISPRS International Journal of Geo-Information  
The Geographic Object-Based Image Analysis (GEOBIA) paradigm relies strongly on the segmentation concept, i.e., partitioning of an image into regions or objects that are then further analyzed.  ...  To reduce the sensitivity of the GEOBIA process to the segmentation step, here we consider that a set of segmentation maps can be derived from remote sensing data.  ...  Acknowledgments: The Vaihingen dataset was provided by the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF) [29] : http://www.ifp.uni-stuttgart.de/dgpf/DKEP-Allg.html.  ... 
doi:10.3390/ijgi8020070 fatcat:iwxihnsvbfcprbsgsc7swtitta

SUPERPIXEL CUT FOR FIGURE-GROUND IMAGE SEGMENTATION

Michael Ying Yang, Bodo Rosenhahn
2016 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
It recovers coherent components of images, providing a set of multiscale hypotheses for high-level reasoning.  ...  user inputs or object models.  ...  It recovers coherent components of images, corresponding to objects, object parts, and objects with surrounding context, providing a set of multiscale hypotheses for high-level reasoning.  ... 
doi:10.5194/isprs-annals-iii-3-387-2016 fatcat:at2272gqfzcwpbk4plakboctoy

Decision Fusion With Multiple Spatial Supports by Conditional Random Fields

Devis Tuia, Michele Volpi, Gabriele Moser
2018 IEEE Transactions on Geoscience and Remote Sensing  
Classification of remotely sensed images into land cover or land use is highly dependent on geographical information at least at two levels.  ...  In this paper, we follow these two observations and encode them as priors in an energy minimization framework based on conditional random fields (CRFs), where classification results obtained at pixel and  ...  from very high resolution remote sensing images.  ... 
doi:10.1109/tgrs.2018.2797316 fatcat:njdjbdmlwrdwvcm47wmjed7umi

Review of Visual Saliency Detection with Comprehensive Information [article]

Runmin Cong, Jianjun Lei, Huazhu Fu, Ming-Ming Cheng, Weisi Lin, and Qingming Huang
2018 arXiv   pre-print
RGBD saliency detection model focuses on extracting the salient regions from RGBD images by combining the depth information.  ...  Co-saliency detection model introduces the inter-image correspondence constraint to discover the common salient object in an image group.  ...  As visible, the remote sensing image is very similar to the conventional color image, except that the remote sensing image is mainly photographed from a high angle shot.  ... 
arXiv:1803.03391v2 fatcat:htcmhlo32jhczehvvq6nmgzwam

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  Tang, C., +, TMM 2021 624-635 Building High-Fidelity Human Body Models From User-Generated Data.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

LABEL-EFFICIENT DEEP LEARNING-BASED SEMANTIC SEGMENTATION OF BUILDING POINT CLOUDS AT LOD3 LEVEL

Y. Cao, M. Scaioni
2021 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Consequently, the application of fully supervised DL for semantic segmentation of buildings' point clouds at LoD3 level is severely limited.  ...  The first step (Autoencoder – AE) is composed of a Dynamic Graph Convolutional Neural Network-based encoder and a folding-based decoder, designed to extract discriminative global and local features from  ...  ACKNOWLEDGEMENTS Financial support from the program of China Scholarships Council (Grant No. 201906860014) is acknowledged. We thank Dr.Matrone et al. for the ArCH dataset.  ... 
doi:10.5194/isprs-archives-xliii-b2-2021-449-2021 fatcat:36l26igkjjaoznwf3kqc3ibmhm

Image splicing detection with local illumination estimation

Yu Fan, Philippe Carre, Christine Fernandez-Maloigne
2015 2015 IEEE International Conference on Image Processing (ICIP)  
& Remote Sensing Imaging Data Hiding I Data Hiding II Graph-based Image & Video Coding Pose & Gesture Recognition Classification I Object Detection & Tracking I HDR Imaging  ...  Video Super- Resolution & Restoration Medical Image Analysis Object-based Representation Image Representation Content & Privacy Protection 16:00 Break (2000BCD) 16:30 Object Detection  ...  Concluding the Show & Tell session will be a section concentrating on why the sensory gap is important to consider for practical applications, such as annotation tools, and image learning and mining systems  ... 
doi:10.1109/icip.2015.7351341 dblp:conf/icip/FanCF15 fatcat:7ja5gjnp5rafvedc2nman7xcru

Development of a pulmonary imaging biomarker pipeline for phenotyping of chronic lung disease

2018 Journal of Medical Imaging  
Parraga gratefully acknowledges funding from a Canadian Institutes of Health Research Team Grant CIF #97687 (Thoracic Imaging Network of Canada).  ...  Guo is currently supported by a postdoctoral fellowship from the Natural Sciences and Engineering Research Council of Canada (NSERC). Capaldi was supported by an NSERC doctoral scholarship.  ...  , fast and high-resolution image acquisition with compressed sensing and parallel imaging.  ... 
doi:10.1117/1.jmi.5.2.026002 pmid:29963580 fatcat:amz6xs6uvvdyjhxtokoaug6mzm
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