基于非平穩(wěn)性和極化相干系數(shù)比的PolSAR圖像建筑物檢測

范慶輝; 慕建君; 項德良; 宋文青

doi:10.11999/JEIT161000

基于非平穩(wěn)性和極化相干系數(shù)比的PolSAR圖像建筑物檢測

doi: 10.11999/JEIT161000

2.
(西安電子科技大學計算機學院西安 710071) ②(河南科技大學信息工程學院洛陽 471023) ③(國防科學技術大學電子科學與工程學院長沙 410073) ④(西安電子科技大學雷達信號處理國家重點實驗室西安 710071)

基金項目:

國家自然科學基金(61271004, 61471286, 61501504)

計量
- 文章訪問數(shù): 1357
- HTML全文瀏覽量: 131
- PDF下載量: 441
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2016-09-30
- 修回日期: 2016-11-09
- 刊出日期: 2016-12-19

Built-up Area Detection from PolSAR Images Based on Nonstationarity and Polarization Coherency Coefficient Ratio

2.
(School of Computer Science and Technology, Xidian University, Xi&rsquo

Funds:

The National Natural Science Foundation of China (61271004, 61471286, 61501504)

摘要

摘要: 為了提高全極化合成孔徑雷達(PolSAR)圖像中城區(qū)建筑物的檢測精度，該文提出一種基于人造目標散射非平穩(wěn)性和極化相干系數(shù)比的建筑物檢測新方法。該方法首先對PolSAR圖像進行濾波和方位向時頻分解，得到多個子孔徑圖像，然后結合方位向非平穩(wěn)性檢測和極化相干系數(shù)比來判斷某個像素是否為建筑物。該文通過引入一種新的極化相干系數(shù)比從而使獲取的建筑物檢測結果優(yōu)于傳統(tǒng)非平穩(wěn)性檢測方法，能夠有效去除具有布拉格散射的自然地物虛警從而提高檢測精度。星載和機載PolSAR數(shù)據(jù)實驗結果驗證了該方法的有效性。
- 極化合成孔徑雷達 /
- 建筑物檢測 /
- 子孔徑分解 /
- 極化相干系數(shù)比 /
- 非平穩(wěn)性檢測
Abstract: To improve the detection accuracy of urban built-up areas from Polarimetric Synthetic Aperture Radar (PolSAR) images, this paper proposes a new built-up area detection method based on nonstationarity and polarization coherency coefficient ratio. Firstly, the PolSAR image is filtered and decomposed into several sub-aperture images along the azimuth direction. Then nonstationarity detection and polarization coherency coefficient ratio are combined to determine the class label of pixels. On the basis of the traditional nonstationarity detection method, this paper introduces a new polarization coherency coefficient ratio to remove the false alarms of natural areas and to improve the overall detection accuracy. Experimental results using spaceborne and airborne PolSAR data demonstrate the effectiveness of the proposed method.
- Polarimetric SAR (PolSAR) /
- Built-up area detection /
- Sub-aperture decomposition /
- Polarization coherency coefficient ratio /
- Nonstationarity detection

HTML全文

參考文獻(14)

劉燕, 譚維賢, 林赟, 等. 基于圓跡 SAR 的建筑物輪廓信息提取[J]. 電子與信息學報, 2015, 37(4): 946-952. doi: 10.11999 /JEIT140717.

LIU Yan, TAN Weixian, LIN Yun, et al. An approach of the outlines extraction of building footprints from the circular SAR data[J]. Journal of Electronics Information Technology, 2015, 37(4): 946-952. doi: 10.11999/ JEIT140717.

WU Wenjun, GUO Huadong, and LI Xinwu. Man-made target detection in urban areas based on a new azimuth stationarity extraction method[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(3): 1138-1146. doi: 10.1109/JSTARS.2013.2243700.

XIANG Deliang, TANG Tao, HU Canbin, et al. Built-up area extraction from PolSAR imagery with model-based decomposition and polarimetric coherence[J]. Remote Sensing, 2016, 8(8): 685. doi: 10.3390/rs8080685.

XIANG Deliang, TANG Tao, BAN Yifang, et al. Man-made target detection from polarimetric SAR data via nonstationarity and asymmetry[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(4): 1459-1469. doi: 10.1109/JSTARS.2016.2520518.

AZMEDROUB B, OUARZEDDINE M, and SOUISSI B. Extraction of urban areas from polarimetric SAR imagery[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(6): 1-9. doi: 10.1109/JSTARS.2016.2527242.

ZHAI Wei, SHEN Huanfeng, HUANG Chunlin, et al. Fusion of polarimetric and texture information for urban building extraction from fully polarimetric SAR imagery[J]. Remote Sensing Letters, 2016, 7(1): 31-40. doi: 10.1080/2150704X. 2015.1101179.

XIANG Deliang, BAN Yifang, and SU Yi. Model-based decomposition with cross scattering for polarimetric SAR urban areas[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(12): 2496-2500. doi: 10.1109/LGRS.2015.2487450.

LEE K Y, OH Y, and KIM Y. Phase-difference of urban area in polarimetric SAR images[J]. Electronics Letters, 2012, 48(21): 1367-1368. doi: 10.1049/el.2012.1698.

KAJIMOTO M and SUSAKI J. Urban-area extraction from polarimetric SAR images using polarization orientation angle[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(2): 337-341. doi: 10.1109/LGRS.2012.2207085.

FERRO-FAMIL L, REIGBER A, POTTIER E, et al. Scene characterization using subaperture polarimetric SAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(10): 2264-2276. doi: 10.1109/TGRS.2003.817188.

AINSWORTH T L, SCHULER D L, and LEE J S. Polarimetric SAR characterization of man-made structures in urban areas using normalized circular-pol correlation coefficients[J]. Remote Sensing of Environment, 2008, 112(6): 2876-2885. doi: 10.1016/j.rse.2008.02.005.

XIAO Shunping, CHEN Siwei, CHANG Yuliang, et al. Polarimetric coherence optimization and its application for manmade target extraction in PolSAR data[J]. IEICE Transcations on Electronics, 2015, E97-C(6): 566-574. doi: 10.1587/transele.E97.C.566.

CAO Fang, HONG Wen, WU Yirong, et al. An unsupervised segmentation with an adaptive number of clusters using the SPAN/H//A space and the complex wishart clustering for fully polarimetric SAR data analysis[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(11): 3454-3467. doi: 10.1109/TGRS.2007.907601.

施引文獻

資源附件(0)

訪問統(tǒng)計