3DSARBuSim 1.0：人造建筑高分辨星載SAR三維成像仿真數(shù)據(jù)集

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	<meta name=; 韓亞權(quán); 黃海風(fēng); 王青松; 賴濤; 王小青

doi:10.11999/JEIT230882

3DSARBuSim 1.0：人造建筑高分辨星載SAR三維成像仿真數(shù)據(jù)集

doi: 10.11999/JEIT230882

焦?jié)欀?/a>,

中山大學(xué)電子與通信工程學(xué)院深圳 518107

基金項目: 國家自然科學(xué)基金(62071499, 62273365)

詳細(xì)信息

作者簡介:
焦?jié)欀耗校┦可?，研究方向為層析合成孔徑雷達(dá)技術(shù)等

鄧嘉：男，碩士生，研究方向為計算機(jī)圖像模擬技術(shù)等

韓亞權(quán)：男，博士生，研究方向為層析合成孔徑雷達(dá)成像技術(shù)等

黃海風(fēng)：男，教授，主要研究方向為空間電子和智能感知領(lǐng)域的基礎(chǔ)理論和關(guān)鍵技術(shù)，包括智慧遙感、測繪、海洋、監(jiān)視、地質(zhì)災(zāi)害等

王青松：男，副教授，研究方向為遙感圖像精化處理、智能視覺導(dǎo)航、協(xié)同探測感知與信息融合等

賴濤：男，副教授，研究方向為SAR系統(tǒng)設(shè)計與信息處理、MIMO成像雷達(dá)系統(tǒng)設(shè)計與信息處理等

王小青：男，教授，研究方向為雷達(dá)海洋遙感、農(nóng)業(yè)遙感、雷達(dá)信號處理等

通訊作者:
黃海風(fēng)　huanghaifeng@mail.sysu.edu.cn

中圖分類號: TN918
計量
- 文章訪問數(shù): 732
- HTML全文瀏覽量: 370
- PDF下載量: 105
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2023-08-11
- 修回日期: 2024-04-08
- 網(wǎng)絡(luò)出版日期: 2024-04-26
- 刊出日期: 2024-07-29

3DSARBuSim 1.0: High-Resolution Space Borne SAR 3D Imaging Simulation Dataset of Man-Made Buildings

School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen 518107, China

Funds: The National Natural Science Foundation of China (62071499, 62273365)

摘要

摘要: 層析合成孔徑雷達(dá)(Tomographic Synthetic Aperture Radar, TomoSAR)成像技術(shù)可有效解決陡峭地形疊掩恢復(fù)難題，因此成為城市測繪技術(shù)的研究熱點之一?；诠_數(shù)據(jù)集的評估是TomoSAR算法研究與系統(tǒng)論證的必要過程，但目前存在的公開數(shù)據(jù)集缺乏相應(yīng)的地物模型真值，無法對算法進(jìn)行定量驗證。為解決這一問題，并進(jìn)一步推動TomoSAR技術(shù)的發(fā)展，該文首先提出一種基于射線追蹤的先進(jìn)星載雷達(dá)模擬器(Ray Tracing Space Borne Radar Advanced Simulator, RT-SBRAS)，相較過往方法，該模擬器可快速穩(wěn)定地模擬復(fù)雜建筑物星載SAR圖像?；诖?，構(gòu)建了人造建筑物高分辨SAR三維成像仿真(3D SAR Building Simulation, 3DSARBuSim)數(shù)據(jù)集的1.0版本，其中包含8個典型建筑物場景的雙頻段多航過全鏈路仿真數(shù)據(jù)。最后給出正交匹配追蹤(Orthogonal Matching Pursuit, OMP)算法和雙頻OMP算法在所提數(shù)據(jù)集上的驗證實驗，該數(shù)據(jù)集可對算法進(jìn)行清晰、準(zhǔn)確的定量比較。
- 合成孔徑雷達(dá)(SAR) /
- 層析成像 /
- 雙頻 /
- 數(shù)據(jù)集
Abstract: Tomographic Synthetic Aperture Radar (TomoSAR) can effectively recover the information of ground objects in steep terrain, and is one of the research hotspots in urban mapping. However, the current public data sets lack the true values of the object models, and cannot quantitatively verify the TomoSAR algorithm. To solve this problem and further promote the development of TomoSAR technology, this paper first proposes an RT-SBRAS (Ray Tracing Based Space Borne Radar Advanced Simulator), which can quickly and stably simulate the spaceborne SAR images of complex buildings compared with previous methods. Based on this, the 1.0 version of the 3D SAR Building Simulation (3DSARBuSim) data set is constructed, which contains the full-link simulation data of eight typical building scenes in dual-band and multi-pass. Finally, Orthogonal Matching Pursuit (OMP) and dual-frequency OMP algorithms are verified on the proposed data set, and the data set can provide clear and accurate quantitative comparison for the algorithms.
- Synthetic Aperture Radar (SAR) /
- Tomography /
- Dual-frequency /
- Data set

HTML全文

圖 1 RT-SBRAS系統(tǒng)結(jié)構(gòu)框圖

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圖 2 多次反射示意圖

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圖 3 射線追蹤示意圖

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圖 4 二維成像驗證模型

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圖 5 場景模型局部放大

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圖 6 各方法仿真結(jié)果與實測數(shù)據(jù)對比

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圖 7 各方法仿真結(jié)果與實測數(shù)據(jù)間相似度指標(biāo)圖

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圖 8 互相關(guān)系數(shù)圖與干涉圖

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圖 9 點目標(biāo)三維模型與其場景建模散射特性計算結(jié)果

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圖 10 雙波段點目標(biāo)圖像

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圖 12 波段點目標(biāo)層析成像結(jié)果

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圖 11 航過及其采樣示意圖

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圖 13 不同方法獲得的其他仿真數(shù)據(jù)三維成像結(jié)果的3D點云

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圖 14 埃菲爾鐵塔的各波段所選航過數(shù)據(jù)重建結(jié)果點云

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圖 15 埃菲爾鐵塔的各波段所選航過數(shù)據(jù)重建結(jié)果點云與場景建模結(jié)果點云配準(zhǔn)圖

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表 1 分布式干涉SAR衛(wèi)星軌道六根數(shù)

序號	參數(shù)
序號	半長軸a(km)	偏心率e	軌道傾角i(°)	升交點赤經(jīng)$\varOmega $(°)	近地點幅角ω(°)	真近點角f(°)
1	6893.38	0.00135	97.4478	295.305	66.7208	76.6798
30	6893.38	0.00138	97.4535	295.314	72.2645	71.1363

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表 2 3DSARBUsim 1.0數(shù)據(jù)集衛(wèi)星雷達(dá)載荷仿真參數(shù)

參數(shù)	數(shù)值
工作頻率1 (GHz)	9.6
工作頻率2 (GHz)	7.2
下視角 (°)	36.52
脈沖重復(fù)頻率 (Hz)	3785
接收信號采樣頻率 (MHz)	400
發(fā)射信號帶寬 (MHz)	300
發(fā)射信號峰值功率 (W)	7680
發(fā)射信號脈寬 (s)	4.7×10^–5
圖像方位向采樣頻率 (Hz)	7570
理論方位分辨率 (m)	1.01
理論斜距分辨率 (m)	0.50

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表 3 數(shù)據(jù)集文件構(gòu)成

序號	文件后綴	說明
1	*.skp	各建筑物原始三維模型文件
2	*BulidingPc[Name].dat	各建筑物場景構(gòu)建結(jié)果點云文件
3	*BulidingSLC[Name].dat	各建筑物雙頻段SLC數(shù)據(jù)，float32格式，實部虛部交替存放
4	*Parameters.dat	實現(xiàn)三維成像所需要的詳盡參數(shù)，包括衛(wèi)星軌道數(shù)據(jù)、天線相位中心數(shù)據(jù)、雷達(dá)系統(tǒng)參數(shù)等
5	*readme.pdf	說明文件，給出數(shù)據(jù)集中文件數(shù)據(jù)存儲地址、字節(jié)數(shù)

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表 4 3DSARBuSim 1.0建筑物選擇

英國倫敦塔橋	泰國泰姬陵	俄羅斯圣巴西勒大教堂	悉尼歌劇院	希臘萬神殿	中國黃鶴樓	法國埃菲爾鐵塔	法國巴黎圣母院

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表 5 3DSARBuSim 1.0建筑物參考衛(wèi)星仿真SAR圖像

泰姬陵	倫敦塔橋	希臘萬神殿	巴黎圣母院	悉尼歌劇院	圣巴西勒大教堂	黃鶴樓	埃菲爾鐵塔

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表 6 算法恢復(fù)雙頻、單頻數(shù)據(jù)三維場景重建完整性和精確度

指標(biāo)	波段	倫敦橋	悉尼歌劇院	巴黎圣母院	泰姬陵	黃鶴樓	埃菲爾鐵塔	圣巴西勒大教堂	希臘萬神殿
完整性(m)	C	44.6201	5.1023	16.1274	10.8159	2.1040	6.6170	7.9663	5.6728
	X	64.3135	6.5311	14.9781	20.7736	2.4556	17.6414	6.5897	5.6028
	雙頻	4.3683	4.1709	13.0377	10.6187	2.6998	9.5862	4.5173	3.1208
精確度(m)	C	20.3231	7.1584	2.3680	2.6077	11.2004	4.2615	2.0330	6.2672
	X	28.3335	15.0973	4.2324	3.8414	9.5589	4.6720	2.1939	6.0266
	雙頻	3.5853	3.2969	5.4178	3.4100	8.3067	4.0461	2.3919	5.3200

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