| 光谱学与光谱分析 |
|
|
|
|
|
| Fast Segmentation Algorithm of High Resolution Remote Sensing Image Based on Multiscale Mean Shift |
| WANG Lei-guang1，3, ZHENG Chen2, LIN Li-yu3*, CHEN Rong-yuan3, MEI Tian-can4 |
1. School of Resource Science, Southwest Forestry University, Kunming 650224, China
2. School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China
3. The State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
4. School of Electronic Information, Wuhan University, Wuhan 430079, China |
|
|
|
|
Abstract Mean Shift algorithm is a robust approach toward feature space analysis and it has been used wildly for natural scene image and medical image segmentation. However, high computational complexity of the algorithm has constrained its application in remote sensing images with massive information. A fast image segmentation algorithm is presented by extending traditional mean shift method to wavelet domain. In order to evaluate the effectiveness of the proposed algorithm, multispectral remote sensing image and synthetic image are utilized. The results show that the proposed algorithm can improve the speed 5-7 times compared to the traditional MS method in the premise of segmentation quality assurance.
|
|
Received: 2010-02-22
Accepted: 2010-05-26
|
|
|
|
Corresponding Authors:
LIN Li-yu
E-mail: foxery@126.com
|
|
[1] Akcay H G，Aksoy S. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(7): 2097.
[2] Zhou W, Troy A. International Journal of Remote Sensing, 2008, 29(11): 3119.
[3] Baatz M, Schpe A. in Geographische Informationsverarbeitung Ⅻ, J.S.e. al., Editor. 2000, Verlag Herbert Wichmann Verlag: Karlsruhe, Germany. 12.
[4] Pesaresi M，Benediktsson J A. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(2): 309.
[5] Comaniciu D, Meer P. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(5): 603.
[6] Christouias C M, Georgescu B, Meer P. Proceedings of 16th International Conference on Pattern Recognition，2002.
[7] Jung C R. Pattern Recognition Letters, 2007, 28(4): 523.
[8] LI Xiao-feng, ZHANG Shu-qing, LIU Qiang，et al(李晓峰, 张树清, 刘 强, 等). Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2009, 28(2): 146.
[9] Cheng Y. IEEE Transaction on Pattern Analysis and Machine Intelligence, 1995, 17(8): 790.
[10] Barash D, Comaniciu D. Image and Vision Computing, 2004, 22(1): 73.
[11] Meer P, Georgescu B. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(12): 1351.
[12] Deng Y, Manjunath B S. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(8): 800.
|
| [1] |
LI He1, WANG Yu2, FAN Kai2, MAO Yi-lin2, DING Shi-bo3, SONG Da-peng3, WANG Meng-qi3, DING Zhao-tang1*. Evaluation of Freezing Injury Degree of Tea Plant Based on Deep
Learning, Wavelet Transform and Visible Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 234-240. |
| [2] |
ZHOU Bei-bei1, LI Heng-kai1*, LONG Bei-ping2. Variation Analysis of Spectral Characteristics of Reclaimed Vegetation in an Ionic Rare Earth Mining Area[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3946-3954. |
| [3] |
DU Zhi-heng1, 2, 3, HE Jian-feng1, 2, 3*, LI Wei-dong1, 2, 3, WANG Xue-yuan1, 2, 3, YE Zhi-xiang1, 2, 3, WANG Wen1, 2, 3. A New EDXRF Spectral Decomposition Method for Sharpening Error Wavelets[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1719-1724. |
| [4] |
LI Wei1, 2, HE Yao1, 2, LIN Dong-yue2, DONG Rong-lu2*, YANG Liang-bao2*. Remove Background Peak of Substrate From SERS Signals of Hair Based on Gaussian Mixture Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 854-860. |
| [5] |
WANG Ren-jie1, 2, FENG Peng1*, YANG Xing3, AN Le3, HUANG Pan1, LUO Yan1, HE Peng1, TANG Bin1, 2*. A Denoising Algorithm for Ultraviolet-Visible Spectrum Based on
CEEMDAN and Dual-Tree Complex Wavelet Transform[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 976-983. |
| [6] |
WANG Fan1, 2, CHEN Long-yue2, 3, DUAN Dan-dan1, 2, 4*, CAO Qiong1, 4, ZHAO Yu1, LAN Wan-rong5. Estimation of Total Nitrogen Content in Fresh Tea Leaves Based on
Wavelet Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3235-3242. |
| [7] |
YU Xin, ZHOU Wei*, XIE Dong-cai, XIAO Feng, LI Xin-yu. The Study of Digital Baseline Estimation in CVAFS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2392-2396. |
| [8] |
JIANG Rong-chang1, 2, GU Ming-sheng2, ZHAO Qing-he1, LI Xin-ran1, SHEN Jing-xin1, 3, SU Zhong-bin1*. Identification of Pesticide Residue Types in Chinese Cabbage Based on Hyperspectral and Convolutional Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1385-1392. |
| [9] |
LI Xue-ying1, 2, LI Zong-min3*, CHEN Guang-yuan4, QIU Hui-min2, HOU Guang-li2, FAN Ping-ping2*. Prediction of Tidal Flat Sediment Moisture Content Based on Wavelet Transform[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1156-1161. |
| [10] |
Yumiti Maiming1, WANG Xue-mei1, 2*. Hyperspectral Estimation of Soil Organic Matter Content Based on Continuous Wavelet Transformation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1278-1284. |
| [11] |
CHEN Feng-nong1, SANG Jia-mao1, YAO Rui1, SUN Hong-wei1, ZHANG Yao1, ZHANG Jing-cheng1, HUANG Yun2, XU Jun-feng3. Rapid Nondestructive Detection and Spectral Characteristics Analysis of Factors Affecting the Quality of Dendrobium Officinale[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(10): 3276-3280. |
| [12] |
CHEN Jian-hong, LIN Zhi-qiang, SUN Chao-yue. Determination of New Non-Invasive Blood Glucose Detection Method Based on Spectral Decomposition[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(08): 2378-2383. |
| [13] |
WU Lian-hui1, 2, 3, HE Jian-feng1, 2, 3*, ZHOU Shi-rong2, 3, WANG Xue-yuan1, 2, YE Zhi-xiang2, 3. A Multi-Derivation-Spline Wavelet Analysis Method for Low Atomic Number Element EDXRF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(08): 2530-2535. |
| [14] |
YANG Bao-hua1, GAO Yuan1, WANG Meng-xuan1, QI Lin1, NING Jing-ming2. Estimation Model of Polyphenols Content in Yellow Tea Based on Spectral-Spatial Features[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(03): 936-942. |
| [15] |
ZHENG Hai-ming, ZHU Xiao-peng, FENG Shuai-shuai, JIA Gui-hong. Experimental Research on Monitoring of BTX Concentration Based on Differential Optical Absorption Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(02): 467-472. |
|
|
|
|
