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FAST MEAN-SHIFT BASED CLASSIFICATION OF VERY HIGH RESOLUTION IMAGES: APPLICATION TO FOREST COVER MAPPING

S. Boukir, S. Jones, K. Reinke
2012 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
However, very little work has been reported regarding the performance of this technique on remotely sensed images. The main disadvantage of the MS algorithm lies on its high computational costs.  ...  This powerful clustering algorithm has been successfully used for both the classification and the segmentation of gray scale and color images during the last decade.  ...  The authors acknowledge the Department of Sustainability and Environment (DSE) of Victoria (Australia) for the high resolution nearinfrared aerial photography.  ... 
doi:10.5194/isprsannals-i-7-111-2012 fatcat:d33gmste4beg5hx77c56yaqsli

Effective Level Set Image Segmentation With a Kernel Induced Data Term

M. Ben Salah, A. Mitiche, I. Ben Ayed
2010 IEEE Transactions on Image Processing  
This leads to a flexible and effective alternative to complex modeling of the image data.  ...  Index Terms-Kernel mapping, level set image segmentation, mean shift, multiphase, piecewise constant model.  ...  For instance, synthetic aperture radar (SAR) images, of great importance in remote sensing, require the Rayleigh distribution model [22] - [24] and polarimetric images, common in remote sensing and  ... 
doi:10.1109/tip.2009.2032940 pmid:19775964 fatcat:ee3ckrvrbfd3hgcc325vgbrrhm

Segmentation of large-scale remotely sensed images on a Spark platform: A strategy for handling massive image tiles with the MapReduce model

Ning Wang, Fang Chen, Bo Yu, Yuchu Qin
2020 ISPRS journal of photogrammetry and remote sensing (Print)  
Numerous image segmentation algorithms have been proposed and widely applied to process remote sensing images, but most of them are designed to deal with single scenes.  ...  The proposed strategy not only has the ability to segment very large images, but also accelerates the segmentation and segmentation-based applications so that they can match the image acquisition rate.  ...  Michel et al. (2015) present a modified stable mean-shift segmentation algorithm that allowed for tile-wise computation.  ... 
doi:10.1016/j.isprsjprs.2020.02.012 fatcat:k6l2xlwplvdvvdoazpqmwz5aaq

A line-based spectral clustering method for efficient planar structure extraction from LiDAR data

Y. He, C. Zhang, C. S. Fraser
2013 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The planar structures are then detected by mean-shift clustering algorithm in eigenspace.  ...  The use of straight line segments facilitates the processing and significantly reduces the computational load.  ...  ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-5/W2, 2013 ISPRS Workshop Laser Scanning 2013, 11 -13 November 2013  ... 
doi:10.5194/isprsannals-ii-5-w2-103-2013 fatcat:sj25wr7m3zcgfecafxd5alvmxe

Comparing Cooccurrence Probabilities and Markov Random Fields for Texture Analysis of SAR Sea Ice Imagery

D.A. Clausi, B. Yue
2004 IEEE Transactions on Geoscience and Remote Sensing  
There exists limited published research comparing different texture methods, especially with regard to segmenting remotely sensed imagery.  ...  GLCPs are demonstrated to have improved discrimination ability relative to MRFs with decreasing window size, which is important when performing image segmentation.  ...  Thanks to the anonymous reviewers, whose helpful advice improved the quality of the manuscript.  ... 
doi:10.1109/tgrs.2003.817218 fatcat:rozqguxavjbyvpwdhdci4xcaee

A Novel Method of Aircraft Detection under Complex Background Based on Circular Intensity Filter and Rotation Invariant Feature

Xin Chen, Jinghong Liu, Fang Xu, Zhihua Xie, Yujia Zuo, Lihua Cao
2022 Sensors  
Aircraft detection in remote sensing images (RSIs) has drawn widespread attention in recent years, which has been widely used in the military and civilian fields.  ...  The feature can characterize the aircraft target well by avoiding the impact of its rotation and can be effectively used to remove false alarms.  ...  Acknowledgments: The authors are grateful for the anonymous reviewers' critical comments and constructive suggestions. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s22010319 pmid:35009861 pmcid:PMC8749598 fatcat:s7xr76qilzcxjd3ayoym2iui7m

Estimation of timber volume at the sample plot level by means of image segmentation and Landsat TM imagery

Helena Mäkelä, Anssi Pekkarinen
2001 Remote Sensing of Environment  
The segmentations were fine-tuned by means of two different region-merging algorithms.  ...  Compared to the estimates of the FW approach, the improvements were, however, quite small and relative root mean square errors (RMSEs) remained high.  ...  Acknowledgments We would like to thank D.For. Jari Varjo and MSc (for.) Reija Haapanen for their review comments, and PhD Ashley Selby for revising the English language.  ... 
doi:10.1016/s0034-4257(01)00194-8 fatcat:ioz4bsk635fcdf34v3yusvo6vu

A Practical and Automated Approach to Large Area Forest Disturbance Mapping with Remote Sensing

Mutlu Ozdogan, Guy J.-P. Schumann
2014 PLoS ONE  
number of standard deviations from the mean value of the histograms generated from local windows in the short-wave infrared (SWIR) difference image; iii) filtering the original training data through a  ...  The approach is built on the traditional pair-wise change detection method, but is designed to extract training data without user interaction and uses a robust classification algorithm capable of handling  ...  Acknowledgments The author is grateful to Dr. Shawn Serbin and Dr. Annemarie Schneider for their comments on an earlier version of this manuscript. Ms. Sarah Graves helped with Figures 5 and 6.  ... 
doi:10.1371/journal.pone.0078438 pmid:24717283 pmcid:PMC3981667 fatcat:bspcayx3wbbczodol33v7orhwe

Segmentation of remotely sensed images with fuzzy thresholding, and quantitative evaluation

S. K. Pal, A. Ghosh, B. Uma Shankar
2000 International Journal of Remote Sensing  
Effectiveness of various fuzzy thresholding techniques (based on entropy of fuzzy sets, fuzzy geometrical properties, and fuzzy correlation) is demonstrated on remotely sensed (IRS and SPOT) images.  ...  A new quantitative index for image segmentation using the concept of homogeneity within regions is defined.  ...  One may note that in certain remote sensing applications the image is available only in one band, for example, panchromatic images, for which segmentation based on thresholding seems to be convenient and  ... 
doi:10.1080/01431160050029567 fatcat:i3rasg3e6zhthnqjsbm3ru5dia

Local Context Normalization: Revisiting Local Normalization [article]

Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Md Mahmudulla Hassan, Nebojsa Jojic
2020 arXiv   pre-print
For example, in applications that use satellite imagery, input images can be arbitrarily large; consequently, it is nonsensical to normalize over the entire area.  ...  We propose an algorithmic solution to make LCN efficient for arbitrary window sizes, even if every point in the image has a unique window.  ...  We thank Nvidia Corporation for the donation of two Titan Xp GPUs used for this research.  ... 
arXiv:1912.05845v3 fatcat:mfpxag6d4ndb3lsjjrh44mt4h4

Local Context Normalization: Revisiting Local Normalization

Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Md Mahmudulla Hassan, Nebojsa Jojic
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
For example, in applications that use satellite imagery, input images can be arbitrarily large; consequently, it is nonsensical to normalize over the entire area.  ...  We propose an algorithmic solution to make LCN efficient for arbitrary window sizes, even if every point in the image has a unique window.  ...  We thank Nvidia Corporation for the donation of two Titan Xp GPUs used for this research.  ... 
doi:10.1109/cvpr42600.2020.01129 dblp:conf/cvpr/OrtizRMFKHJ20 fatcat:nnxwdwydxzgihhp4fby4nckzl4

Normalization in Unsupervised Segmentation Parameter Optimization: A Solution Based on Local Regression Trend Analysis

Stefanos Georganos, Moritz Lennert, Tais Grippa, Sabine Vanhuysse, Brian Johnson, Eléonore Wolff
2018 Remote Sensing  
In the context of a remote sensing very-high-resolution urban application, we show the limitations of the fixed threshold approach, both in a theoretical and applied manner, and instead propose a novel  ...  In object-based image analysis (OBIA), the appropriate parametrization of segmentation algorithms is crucial for obtaining satisfactory image classification results.  ...  We would also like to thank the three anonymous reviewers whose constructive feedback greatly improved the quality of the manuscript.  ... 
doi:10.3390/rs10020222 fatcat:umrfww5tyzd7vkmbwvjpdqfbxy

Identification of the Yield of Camellia oleifera Based on Color Space by the Optimized Mean Shift Clustering Algorithm Using Terrestrial Laser Scanning

Jie Tang, Fugen Jiang, Yi Long, Liyong Fu, Hua Sun
2022 Remote Sensing  
In addition, the common mean shift, density-based spatial clustering of applications with noise (DBSCAN), and maximum–minimum distance clustering were established for comparison and validation.  ...  7.05%, 62.35%, and 10.78% higher than those of the common mean shift clustering, DBSCAN clustering, and maximum-minimum distance clustering algorithms, respectively.  ...  Informed Consent Statement: Not applicable. Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest. Remote Sens. 2022, 14, 642  ... 
doi:10.3390/rs14030642 fatcat:k2xv7mfnrbg2pdexo5ng34c2zq

Remote laser-speckle sensing of heart sounds for health assessment and biometric identification [article]

Lucrezia Cester, Ilya Starshynov, Yola Jones, Pierpaolo Pellicori, John GF Cleland, Daniele Faccio
2022 arXiv   pre-print
Assessment of heart sounds is the cornerstone of cardiac examination, but it requires a stethoscope, skills and experience, and a direct contact with the patient.  ...  We developed a contactless, machine-learning assisted method for heart-sound identification and quantification based on the remote measurement of the reflected laser speckle from the neck skin surface  ...  (c) shows two consecutive frames of the raw data speckle image recording and (d) shows a map of the local displacement calculated using Farneback algorithm.  ... 
arXiv:2204.11978v1 fatcat:2ktlhfjb6vgipiahily4lebnru

Survey of contemporary trends in color image segmentation

Sreenath Rao Vantaram, Eli Saber
2012 Journal of Electronic Imaging (JEI)  
In recent years, the acquisition of image and video information for processing, analysis, understanding, and exploitation of the underlying content in various applications, ranging from remote sensing  ...  In addition, qualitative and quantitative results of prominent algorithms on several images from the Berkeley segmentation dataset are shown in order to furnish a fair indication of the current quality  ...  165 for providing source codes and/or results of their respective segmentation algorithms as well as the anonymous reviewers for their valuable comments.  ... 
doi:10.1117/1.jei.21.4.040901 fatcat:dco5abqsvzcuxi5ydktbssz6xi
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