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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/42380


    Title: 空載多元探測資料於地表環境監測之應用(I);Ground Environmental Monitoring Using Airborne Multi-Sensor Data (I)
    Authors: 陳良健;陳繼藩;李培芬;蔡富安;吳啟南;黃鼎名
    Contributors: 太空及遙測研究中心
    Keywords: 林業類
    Date: 2004-12-01
    Issue Date: 2010-11-30 16:03:39 (UTC+8)
    Publisher: 行政院農業委員會
    Abstract: 一、 高解析影像與光達資料之整合於三維樹林覆蓋模型之建立(1/3):本(九十三)年度計畫重要工作項目及實施方法如下: 1. 三維套合:本項工作針對高解析衛星影像與光達資料於物空間進行三維對位。工作包含: (1) 在光達資料部份將地面點(Ground points)及地表點(Surface points)分別內插為網格式之數值地形模型(DTM)及數值表面模型(DSM)。 (2) 在高解析影像部份將以執行團隊所建立的正射校正系統對QuickBird或Ikonos影像依控制點及數值表面模型進行正射校正。 2. 地上物區塊萃取:本項工作主要將地上物區塊與地表面之進行分離。擬採用H-Dome技術以降低地形起伏對分割運作之敏感度。 3. 植生區塊偵測:使用高解析衛星影像之多光譜資料,以影像分類技術偵測植生物之區塊。 4. 樹林區塊偵測:結合前2、3成果綜合分析以建立樹林區塊之分佈。除喬木外,亦將對偵測灌木之能力進行分析。 5. 可靠度與精度分析:將以台中或新竹之測試區進行研究,並於現場觀測後進行成果精度之分析。針對三維樹林覆蓋模型建立自動化之系統,不但有利林業管理且對人民生品質有助益。結合光達及高解析遙測影像充份發揮國內現有之條件,即: (1) 光達部份已有農委會的測試資料組,且未來兩年國內將引進作業型系統, (2) 遙測影像充份發揮高解析衛星資料及農林航空測量所之空照能量。此外,在技術開發部份亦具應用之潛力。總目標為三維樹林覆蓋型建立之自動化,首(九十三)年工作之預期效益將包括: (1) 建立三年期研究之基礎,作為未來技術推廣之起點。 (2) 結合形狀(光達)及顏色(影像)以建立樹林地區萃取及定位之方法。 (3) 執行團隊原有的幾何處理能力將更為成熟。 二、 空載多譜掃描及高光譜影像之應用(4/4):本計畫長久以來一直配合農委會與農林航空測量所的空載多譜掃瞄計畫,將空載多譜影像正射化,並推動其應用。本年度計畫內容主要有下列數項: 1. 評估空載多譜掃瞄儀老舊問題及未來替代方案。 2. 整理歷年來空載多譜掃瞄磁帶及更新資料庫。 3. 進行相關空載多譜掃瞄影像的幾何校正。 4. 利用空載多譜掃瞄影像及相關資料分析特殊外來植物(銀合歡)之分布。 5. 偵測北部茶園災害之分佈。 6. 舉辦空載遙測影像之近況介紹座談會。 Sub-Project 1: Integration of High Resolution Images and Lidar Data for 3-D Modeling of Tree Canopy (1/3): The major works in the first of year of the three-year project includes following items. 1. Three Dimensional Registration The first step is to perform three dimensional positioning and registration of images and Lidar data. Works comprise (1) Generation of digital terrain mondel (DTM) and digital surface model (DSM) using ground point data and surface point data provided by Lidar, (2) Generation of orthoimages by employing ground control points and DSM. 2. Ground Segmentation stage includes segmentation of object height to discriminate ground and above-ground objects using H-dome technique. 3. Vegetation Detection is performed on the images to detect vegetation blocks using classification technique. 4. Detection of tree blocks is performed by the integration of the results of step 2 and 3. 5. Validation step examines the reliablity and accuracy using the test data. Sub-Project 2: The Applications of Airborne MSS and Hyperspectral Data (4/4): The main objective of the project has been to continuously maintain airborne MSS data in service and develop practical applications. It is expected to implement the following items: 1. estimate the out-of-dated problems of airborne MSS and propose the replacement project; 2. arrange old CCTs of airborne MSS and update the database management system; 3. transform necessary airborne MSS data to geo-referenced images; 4. detect alien leucaena from airborne MSS images and related remote sensing data; 5. locate the dead tea-trees from airborne MSS images; and 6. promote the workshop for the use of MSS data. 研究期間:9301 ~ 9312
    Relation: 財團法人國家實驗研究院科技政策研究與資訊中心
    Appears in Collections:[太空及遙測研究中心] 研究計畫

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