極化SAR圖像目標分解方法的研究進展

張臘梅; 段寶龍; 鄒斌

doi:10.11999/JEIT160992

極化SAR圖像目標分解方法的研究進展

doi: 10.11999/JEIT160992

基金項目:

國家自然科學基金(61401124)，黑龍江省博士后科研啟動基金(LBH-Q13069)

計量
- 文章訪問數(shù): 2099
- HTML全文瀏覽量: 356
- PDF下載量: 701
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2016-09-29
- 修回日期: 2016-11-14
- 刊出日期: 2016-12-19

Research Development on Target Decomposition Method of Polarimetric SAR Image

Funds:

The National Natural Science Foundation of China (61401124), The Postdoctoral Scientific Research Developmental Foundation of Heilongjiang Province (LBH- Q13069)

摘要

摘要: 極化合成孔徑雷達(極化SAR)經(jīng)過近幾年的迅速發(fā)展，已經(jīng)成為遙感領域的一大研究熱點。極化目標分解作為極化SAR圖像分析的一種基本手段，所提取的極化信息是極化SAR圖像目標檢測和分類的基礎，在極化SAR圖像解譯中起著關鍵作用。通過對近幾年極化目標分解方法的發(fā)展作一個全面的闡述，重點介紹該領域出現(xiàn)的新技術，使相關研究人員能夠更清晰地了解這一領域的最新進展。
- 極化合成孔徑雷達 /
- 特征提取 /
- 極化目標分解
Abstract: Polarimetric Synthetic Aperture Radar (Polarimetric SAR) has become a hot research topic in the field of remote sensing with the rapid development in recent years. Polarimetric target decomposition is a basic method for Polarimetric SAR image analysis, and plays a key role in Polarimetric SAR image interpretation, the extracted features from polarimetric target decomposition is the basis of target detection and image classification using Polarimetric SAR image. In this paper, through expositing the development of polarimetric target decomposition as well as the new technologies in recent years comprehensively, the relevant researchers can understand the latest progress in this field clearly.
- Polarimetric SAR /
- Feature extraction /
- Polarimetric target decomposition

HTML全文

參考文獻(60)

王振力, 鐘海. 國外先進星載SAR衛(wèi)星的發(fā)展現(xiàn)狀及應用[J]. 國防科技, 2016, 37(1): 19-24. doi: 10.13943/j.issn1671-4547. 2016.01.06.

WANG Zhenli and ZHONG Hai. The nowadays development and application of oversea advanced space borne SARS[J]. National Defense Science Technology, 2016, 37(1): 19-24. doi: 10.13943/j.issn1671-4547.2016.01.06.

CHEN F, LASAPONARA R, and MASINI N. An overview of satellite synthetic aperture radar remote sensing in archaeology: From site detection to monitoring[J]. Journal of Cultural Heritage, 2015, 2015: 1-7. doi: 10.1016/j.culher. 2015.05.003.

YANG J, YAMAGUCHI Y, LEE J S, et al. Applications of polarimetric SAR[J]. Journal of Sensors, 2015, 2015: 1-2. doi: 10.1155/2015/316391.

陳曦, 吳濤, 陶利, 等. 極化SAR發(fā)展需求及其目標識別關鍵技術[J]. 科技視界, 2015, (16): 21-22.

CHEN Xi, WU Tao, TAO Li, et al. Development needs of polarimetric SAR and key technology of target recognition[J]. Science Technology Vision, 2015, (16): 21-22.

JAWAK S D, BIDAWE T G, and LUIS A J. A review on applications of imaging synthetic aperture radar with a special focus on cryospheric studies[J]. Advances in Remote Sensing, 2015, 4(2): 163-175. doi: 10.4236/ars.2015.42014.

KROGAGER E. Aspects of polarimetric radar imaging[D]. [Ph.D. dissertation], TUD, Lyngby, Denmark, 1993.

KROGAGER E and CZYZ Z H. Properties of the sphere, diplane, helix decomposition[C]. Proceedings of JIPR'95, Nantes, France, 1995: 106-114.

CAMERON W L and LEUNG L K. Feature motivated polarization scattering matrix decomposition[C]. IEEE International Radar Conference, Arlington, VA, 1990: 549-557.

CAMERON W L, YOUSSEF N N, and LEUNG L K. Simulated polarimetric signatures of primitive geometrical shapes[J]. IEEE Transactions on Geoscience and Remote Sensing, 1996, 34(3): 793-803.

TOUZI R. Characterization of target symmetric scattering using polarimetric SARs[J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(11): 2507-2516.

TOUZI R. Target scattering decomposition of one-look and multi-look SAR data using a new coherent scattering model: The TSVM[C]. IEEE International Geosience and Remote Sensing Symposium, Alaska, USA, 2004: 2491-2494.

CLOUDE S R and POTTIER E. A review of target decomposition theorems in radar polarimetry[J]. IEEE Transactions on Geoscience and Remote Sensing, 1996, 34(2): 498-518.

PALADINI R, MARTORELLA M, and BERIZZI F. Classification of man-made targets via invariant coherency- matrix eigenvector decomposition of polarimetric SAR/ISAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(8): 3022-3034. doi: 10.1109/TGRS.2011. 2116121.

PALADINI R, FERRO F L, POTTIER E, et al. Lossless and sufficient-invariant decomposition of random reciprocal target[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(9): 3487-3501. doi: 10.1109/TGRS.2011. 2181397.

FREEMAN A. Calibration of linearly polarized polarimetric SAR data subject to faraday rotation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(8): 1617-1624. doi: 10.1109/TGRS.2004.830161.

ZOU B, LU D, ZHANG L, et al. Eigen-decomposition-based four-component decomposition for PolSAR data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(3): 1286-1296. doi: 10.1109/ JSTARS.2015.2513161.

HUYNEN J R. Phenomenological theory of radar targets[D]. [Ph.D. dissertation], University of Technology, 1970.

VAN ZYL J J. Unsupervised classification of scattering behavior using radar polarimetry data[J]. IEEE Transactions on Geoscience and Remote Sensing, 1989, 27(1): 36-45.

DONG Y, FROSTER B C, and TICEHURST C. A new decomposition of radar polarization signatures[J]. IEEE Transactions on Geoscience and Remote Sensing, 1998, 36(3): 933-939.

王之禹, 朱敏惠, 白有天. 基于散射模型的極化SAR數(shù)據(jù)分解[J]. 電子與信息學報, 2001, 23(10): 954-961.

WANG Zhiyu, ZHU Minhui, and BAI Youtian. Decomposition of Polarimetric SAR data model[J]. Journal of Electronics Information Technology, 2001, 23(10): 954-961.

CLOUDE S R and POTTIER E. An entropy based classification scheme for land applications of polarimetric SAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35(1): 68-78.

AN W, CUI Y, YANG J, et al. Fast alternatives to H/alpha for polarimetric SAR[J]. IEEE Geoscience and Remote Sensing Letters, 2010, 7(2): 343-347. doi: 10.1109/LGRS.2009. 2035135.

HOLM W A and BAMES R M. On radar polarization mixed target state decomposition techniques[C]. Proceedings of the IEEE National Radar Conference, Dallas, Texas, USA, 1988: 249-254.

VAN ZYL J J. Application of Cloudes target decomposition theorem to polarimetric imaging radar data[C]. Proceedings of SPIE - The International Society for Optical Engineering, San Diego, CA, USA, 1993: 184-191.

AINSWORTH T L, CLOUDE S R, and LEE J S. Eigenvector analysis of polarimetric SAR data[C]. IEEE International Geosience and Remote Sensing Symposium, Toronto, Canada, 2002, Vol.1: 626-628.

FREEMAN A and DURDEN S. A Three-component scattering model to describe polarimetric SAR data[C]. Proceedings SPZE Conference on Radar Polarimetry, San Diego, CA, USA, 1993: 213-224.

MORIYAMA T, URATSUKA S, UMEHARA T, et al. Polarimetric SAR image analysis using model fit for urban structures[J]. IEICE Transactions on Communications, 2005, 88(3): 1234-1243.

YAMAGUCHI Y, MORIYAMA T, ISHIDO M, et al. Four-component scattering model for polarimetric SAR image decomposition[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(8): 1699-1706. doi: 10.1109/TGRS. 2005.852084.

ZHANG L, ZOU B, CAI H, et al. Multiple-component scattering model for polarimetric SAR image decomposition [J]. IEEE Geoscience and Remote Sensing Letters, 2008, 5(4): 603-607. doi: 10.1109/LGRS.2008.2000795.

LEE J S, AINSWORTH T L, and WANG Y. Recent advances in scattering model-based decompositions: An overview[C]. IEEE International Geoscience Remote Sensing Symposium (IGARSS'11), Vancouver, BC, Canada, 2011: 9-12.

ANTROPOV O, RAUSTE Y, and HAME T. Volume scattering modeling in PolSAR decompositions: Study of ALOS PALSAR data over boreal forest[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(10): 3838-3848. doi: 10.1109/TGRS.2011.2138146.

ARII M, VAN ZYL J J, and KIM Y. Adaptive model-based decomposition of polarimetric SAR covariance matrices[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(3): 1104-1113. doi: 10.1109/TGRS.2010.2076285.

VAN ZYL J J, ARII M, and KIM Y. Model-based decomposition of polarimetric SAR covariance matrices constrained for nonnegative eigenvalues[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(9): 3452-3459. doi: 10.1109/TGRS.2011.2128325.

劉高峰, 李明, 王亞軍, 等. 基于層次非負特征值約束的Yamaguchi分解[J]. 電子與信息學報, 2013, 35(11): 2678-2685. doi: 10.3724/SP.J.1146.2012.01381.

LIU Gaofeng, LI Ming, WANG Yajun, et al. Yamaguchi decomposition based on hierarchical nonnegative eigenvalue restriction[J]. Journal of Electronics Information Technology, 2013, 35(11): 2678-2685. doi: 10.3724/SP.J.1146. 2012.01381.

WANG C, YU W, WANG R, et al. Comparison of nonnegative eigenvalue decompositions with and without reflection symmetry assumptions[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(4): 2278-2287. doi: 10.1109/TGRS.2013.2259177.

蔡永俊, 張祥坤, 姜景山. 極化SAR自適應三分量分解方法[J]. 測繪學報, 2016, 45(9): 1089-1095. doi: 10.11947/j.AGCS. 2016.20150533.

CAI Yongjun, ZHANG Xiangkun, and JIANG Jingshan. Adaptive three-component decomposition approach for polarimetric SAR data[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(9): 1089-1095. doi: 10.11947/j.AGCS.2016. 20150533.

AN W, CUI Y, and YANG J. Three-component model-based decomposition for polarimetric SAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(6): 2732-2739. doi: 10.1109/TGRS.2010.2041242.

YAMAGUCHI Y, SATO A, BOERNER W M, et al. Four-component scattering power decomposition with rotation of coherency matrix[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(6): 2251-2258.

SUGIMOTO M, OUCHI K, and NAKAMURA Y. Four-component scattering power decomposition algorithm with rotation of covariance matrix using ALOS-PALSAR polarimetric data[J]. Remote Sensing, 2012, 4(8): 2199-2209. doi: 10.3390/rs4082199.

CHEN S W, WANG X S, XIAO S P, et al. General polarimetric model-based decomposition for coherency matrix[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(3): 1843-1855.

BHATTACHARYA A, MUHURI A, DE S, et al. Modifying the yamaguchi four-component decomposition scattering powers using a stochastic distance[J]. IEEE Journal of Selected Topics in Applied Earth Observations Remote Sensing, 2015, 8(7): 3497-3506. doi: 10.1109/JSTARS.2015. 2420683.

閆麗麗, 張繼賢, 高井祥, 等. 一種適合方位建筑物的基于物理散射模型的極化SAR影像四分量分解方法[J]. 電子學報, 2015, 43(1): 203-208. doi: 10.3969/j.issn.0372-2112.2015.01. 032.

YAN Lili, ZHANG Jixian, GAO Jingxiang, et al. Four- Component model-based decomposition of Polarimetric SAR data for oriented urban buildings[J]. Acta Electronica Sinica, 2015, 43(1): 203-208. doi: 10.3969/j.issn.0372-2112.2015.01. 032.

SHUANG Z, SHUANG W, LI-CHENG R, et al. A novel hybrid Freeman/eigenvalue decomposition with general scattering models[J]. Journal of Infrared Millimeter Waves, 2015, 34(3): 265-270. doi: 10.11972/j.issn.1001-9014.2015.03. 002.

車美琴, 阿里木賽買提, 杜培軍, 等. 利用旋轉不變特征提取全極化SAR影像人工地物[J]. 遙感學報, 2016, 20(2): 303-314. doi: 10.11834/jrs.20165098.

CHE Meiqin, SAMAT A, DU Peijun, et al. Urban man-made target extraction from Quad-PolSAR imagery with roll-invariant parameters[J]. Journal of Remote Sensing, 2016, 20(2): 303-314. doi: 10.11834/jrs.20165098.

范慶輝, 盧紅喜, 保錚, 等. 基于半正定約束的極化相似度最優(yōu)模型匹配目標分解[J]. 電子與信息學報, 2015, 37(8): 1821-1827. doi: 10.11999/JEIT141468.

FAN Qinghui, LU Hongxi, BAO Zheng, et al. Positive- semidefinite based target decomposition using optimal model-matching with polarization similarity[J]. Journal of Electronics Information Technology, 2015, 37(8): 1821-1827. doi: 10.11999/JEIT141468.

殷君君, 安文韜, 楊健, 等. 一種改進的極化SAR圖像四成分分解方法[J]. 信息與電子工程, 2011, 9(2): 127-132.

YIN Junjun, AN Wentao, YANG Jian, et al. A modified four- component model-based scattering decomposition method of polarimetric SAR images[J]. Information Electronic Engineering, 2011, 9(2): 127-132.

李春升, 王偉杰, 王鵬波, 等. 星載SAR技術的現(xiàn)狀與發(fā)展趨勢[J]. 電子與信息學報, 2016, 38(1): 229-240. doi: 10.11999/ JEIT151116.

LI Chunsheng, WANG Weijie, WANG Pengbo, et al. Current situation and development trends of spaceborne SAR technology[J]. Journal of Electronics Information Technology, 2016, 38(1): 229-240. doi: 10.11999/JEIT151116.

BOERNER W M. The development of multi-band equatorial orbiting POLSAR satellite sensors[C]. IEEE International Conference on Aerospace Electronics Remotes Sensing Technology, Yogyakarta, Indonesia, 2014: 127-131.

BALLESTER-BERMAN J D and LOPEZ-SANCHEZ J M. Applying the Freeman-Durden decomposition concept to polarimetric SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(1): 466-479. doi: 10.1109/TGRS.2009.2024304.

MINH N P, ZOU B, CAI H, et al. Forest height estimation from mountain forest areas using general model-based decomposition for PolInSAR image[J]. Journal of Applied Remote Sensing, 2014, 8(1): 083676, doi: 10.1117/1.JRS.8. 083676.

施引文獻

資源附件(0)

訪問統(tǒng)計