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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 江簡富 | zh_TW |
| dc.contributor.advisor | Jean-Fu Kiang | en |
| dc.contributor.author | 莊旭岳 | zh_TW |
| dc.contributor.author | Hsu-Yueh Chuang | en |
| dc.date.accessioned | 2024-07-23T16:13:03Z | - |
| dc.date.available | 2024-07-24 | - |
| dc.date.copyright | 2024-07-23 | - |
| dc.date.issued | 2024 | - |
| dc.date.submitted | 2024-07-18 | - |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/93191 | - |
| dc.description.abstract | 本論文提出了嚴格的層析合成孔徑雷達 (TomoSAR) 成像程序來獲取局部感興趣區域森林的高解析度 L 波段影像。推導出一聚焦函數 (Focusing function) 以將散射訊號與森林冠層的反射率函數相關聯，從而無需借助校準。使用森林體素模型來模擬不同的樹種，並使用 Maxwell-Garnett mixing formula 對介電常數進行建模。在模擬中，在三種信噪比下的兩種森林場景中應用了五種不同的反演方法，以驗證所提出程序的有效性。樹木的介電常數曲線可用來監測森林的含水量。結果顯示使用一群無人機 (UAV) 在特定區域進行 TomoSAR 成像以找出潛在的野火危險點是可行的。 | zh_TW |
| dc.description.abstract | A rigorous TomoSAR imaging procedure is proposed to acquire high-resolution L-band images of a forest in a local area of interest. A focusing function is derived to relate the backscattered signals to the reflectivity function of the forest canopies without resorting to calibration. A forest voxel model is compiled to simulate different tree species, with the dielectric constant modeled with the Maxwell-Garnett mixing formula. Five different inverse methods are applied on two forest scenarios under three signal-to-noise ratios in the simulations to validate the efficacy of the proposed procedure. The dielectric-constant profile of trees can be used to monitor the moisture content of the forest. The use of a swarm of unmanned aerial vehicles (UAVs) is feasible to carry out TomoSAR imaging over a specific area to pinpoint potential spots of wildfire hazards. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-07-23T16:13:03Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2024-07-23T16:13:03Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | Contents
口試委員審定書 i Acknowledgment ii 中文摘要 iii Abstract iv Table of Contents vi List of Figures ix List of Tables x 1 Introduction 1 2 Forward Problem and Signal Model 6 2.1 Range Compression 8 2.2 Azimuth-Depth Compression 8 3 TomoSAR Imaging Methods 12 3.1 Covariance of Deramped Images 15 3.2 Compressive-Sensing Method 18 3.3 Fourier Beamforming (FB) Method 19 3.4 Multiple Signal Classification (MUSIC) Method 20 3.5 Amplitude and Phase Estimation (APES) Method 21 3.6 Capon Method 23 4 Simulations and Discussion 24 4.1 Parameters for TomoSAR Simulations 25 4.2 Simulations on Virtual Forest 28 4.3 Effects of Noise 33 4.4 Performance Comparison of Imaging Methods 35 4.5 Highlighted Contributions 37 5 Conclusions 51 Bibliography 53 | - |
| dc.language.iso | en | - |
| dc.subject | 層析合成孔徑雷達 | zh_TW |
| dc.subject | 合成孔徑雷達 | zh_TW |
| dc.subject | L波段 | zh_TW |
| dc.subject | 野火預防 | zh_TW |
| dc.subject | 無人機 | zh_TW |
| dc.subject | 介電系數 | zh_TW |
| dc.subject | 森林模型 | zh_TW |
| dc.subject | focusing function | en |
| dc.subject | unmanned aerial vehicle | en |
| dc.subject | reflectivity function | en |
| dc.subject | dielectric constant | en |
| dc.subject | forest model | en |
| dc.subject | L-band | en |
| dc.subject | TomoSAR | en |
| dc.subject | high resolution | en |
| dc.subject | wildfire prediction | en |
| dc.title | 採用無人機群執行高解析度 L 波段層析合成孔徑雷達成像以檢測森林冠層介電常數異常 | zh_TW |
| dc.title | High-Resolution L-Band TomoSAR Imaging on Forest Canopies with UAV Swarm to Detect Dielectric Constant Anomaly | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 112-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 丁建均;李翔傑 | zh_TW |
| dc.contributor.oralexamcommittee | Jian-Jiun Ding;Hsiang-Chieh Lee | en |
| dc.subject.keyword | 合成孔徑雷達,層析合成孔徑雷達,森林模型,介電系數,無人機,野火預防,L波段, | zh_TW |
| dc.subject.keyword | TomoSAR,high resolution,L-band,focusing function,forest model,dielectric constant,reflectivity function,unmanned aerial vehicle,wildfire prediction, | en |
| dc.relation.page | 63 | - |
| dc.identifier.doi | 10.6342/NTU202401897 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2024-07-19 | - |
| dc.contributor.author-college | 電機資訊學院 | - |
| dc.contributor.author-dept | 電信工程學研究所 | - |
| 顯示於系所單位： | 電信工程學研究所 | |
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