Dr. Kaimin Sun Profile

Dr. Kaimin Sun

at Wuhan Univ

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Author

Publications (10)

SPIE Journal Paper | 17 December 2018 Open Access

Improved relative radiometric normalization method of remote sensing images for change detection

Yepei Chen, Kaimin Sun, Deren Li, Ting Bai, Wenzhuo Li

JARS, Vol. 12, Issue 04, 045018, (December 2018) https://doi.org/10.1117/12.10.1117/1.JRS.12.045018

KEYWORDS: Wavelet transforms, Principal component analysis, Detection and tracking algorithms, Remote sensing, Radiometric corrections, Wavelets, Lithium, Target detection, Transform theory, Atmospheric sensing

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Proceedings Article | 8 March 2018 Paper

Multi-scale image segmentation method with visual saliency constraints and its application

Yan Chen, Jie Yu, Kaimin Sun

Proceedings Volume 10611, 106110H (2018) https://doi.org/10.1117/12.2285498

KEYWORDS: Image segmentation, Visual process modeling, Feature extraction, Image fusion, Target recognition, Image processing

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Object-based image analysis method has many advantages over pixel-based methods, so it is one of the current research hotspots. It is very important to get the image objects by multi-scale image segmentation in order to carry out object-based image analysis. The current popular image segmentation methods mainly share the bottom-up segmentation principle, which is simple to realize and the object boundaries obtained are accurate. However, the macro statistical characteristics of the image areas are difficult to be taken into account, and fragmented segmentation (or over-segmentation) results are difficult to avoid. In addition, when it comes to information extraction, target recognition and other applications, image targets are not equally important, i.e., some specific targets or target groups with particular features worth more attention than the others. To avoid the problem of over-segmentation and highlight the targets of interest, this paper proposes a multi-scale image segmentation method with visually saliency graph constraints. Visual saliency theory and the typical feature extraction method are adopted to obtain the visual saliency information, especially the macroscopic information to be analyzed. The visual saliency information is used as a distribution map of homogeneity weight, where each pixel is given a weight. This weight acts as one of the merging constraints in the multi- scale image segmentation. As a result, pixels that macroscopically belong to the same object but are locally different can be more likely assigned to one same object. In addition, due to the constraint of visual saliency model, the constraint ability over local-macroscopic characteristics can be well controlled during the segmentation process based on different objects. These controls will improve the completeness of visually saliency areas in the segmentation results while diluting the controlling effect for non- saliency background areas. Experiments show that this method works better for texture image segmentation than traditional multi-scale image segmentation methods, and can enable us to give priority control to the saliency objects of interest. This method has been used in image quality evaluation, scattered residential area extraction, sparse forest extraction and other applications to verify its validation. All applications showed good results.

Proceedings Article | 8 March 2018 Paper

Comparison of four machine learning methods for object-oriented change detection in high-resolution satellite imagery

Ting Bai, Kaimin Sun, Shiquan Deng, Yan Chen

Proceedings Volume 10611, 106110G (2018) https://doi.org/10.1117/12.2285493

KEYWORDS: Machine learning, Image segmentation, Remote sensing, High resolution satellite images

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SPIE Journal Paper | 12 September 2016 Open Access

Algorithm for automatic image dodging of unmanned aerial vehicle images using two-dimensional radiometric spatial attributes

Wenzhuo Li, Kaimin Sun, Deren Li, Ting Bai

JARS, Vol. 10, Issue 03, 036023, (September 2016) https://doi.org/10.1117/12.10.1117/1.JRS.10.036023

KEYWORDS: Image processing, Unmanned aerial vehicles, Image analysis, Lithium, Remote sensing, Image filtering, Linear filtering, Orthophoto maps, Cameras, Sun

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SPIE Journal Paper | 25 June 2014

Algorithm for relative radiometric consistency process of remote sensing images based on object-oriented smoothing and contourlet transforms

Wenzhuo Li, Kaimin Sun, Hongya Zhang

JARS, Vol. 8, Issue 01, 083607, (June 2014) https://doi.org/10.1117/12.10.1117/1.JRS.8.083607

KEYWORDS: Image processing, Transform theory, Remote sensing, Image segmentation, Radiometric corrections, Sun, Linear filtering, Image filtering, Optical filters, Visualization

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Proceedings Article | 15 November 2007 Paper

Automatic image registration based on convexity model and full-scale image segmentation

Kaimin Sun, Haigang Sui, Yan Chen

Proceedings Volume 6786, 67863A (2007) https://doi.org/10.1117/12.750006

KEYWORDS: Image segmentation, Image registration, Curium, Image processing algorithms and systems, Remote sensing, Image resolution, Distortion, Image processing, Image restoration, Image sensors

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Proceedings Article | 14 November 2007 Paper

Automatic image registration based on convexity model and full-scale image segmentation

Kaimin Sun, Haigang Sui, Yan Chen

Proceedings Volume 6790, 679039 (2007) https://doi.org/10.1117/12.751051

KEYWORDS: Image segmentation, Image registration, Curium, Image processing algorithms and systems, Remote sensing, Image resolution, Distortion, Image processing, Image restoration, Image sensors

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Proceedings Article | 8 August 2007 Paper

Edge-preserve image smoothing algorithm based on convexity model and its application in the airport extraction

Kaimin Sun, Deren Li, Yan Chen, Haigang Sui

Proceedings Volume 6752, 67520M (2007) https://doi.org/10.1117/12.760448

KEYWORDS: Image segmentation, Detection and tracking algorithms, Edge detection, Remote sensing, Image filtering, Image processing algorithms and systems, Smoothing, Image processing, Curium, Hough transforms

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Proceedings Article | 25 July 2007 Paper

Spatial data mining and object-oriented knowledge representation in image analysis

Yan Chen, Kaimin Sun, Jian Lu, Zongjian Lin

Proceedings Volume 6753, 67530E (2007) https://doi.org/10.1117/12.761364

KEYWORDS: Image analysis, Image segmentation, Remote sensing, Image classification, Image processing, Data mining, Knowledge acquisition, Data storage, Knowledge discovery, Databases

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Proceedings Article | 28 October 2006 Paper

Multiscale image segmentation and its application in image information extraction

Kaimin Sun, Yan Chen, Deren Li

Proceedings Volume 6419, 64191I (2006) https://doi.org/10.1117/12.713250

KEYWORDS: Image segmentation, Image analysis, Remote sensing, Image processing, Feature extraction, Image resolution, Roads, Image classification, Landsat, Earth observing sensors

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Showing 5 of 10 publications

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