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On 2024年10月21日 上午11:12:32 [+0800], ncblab7041 朱彥煒:
  • Updated description of Rice disease hyperspectral image dataset(水稻病害高光譜影像資料集) from

    # 水稻病害高光譜影像資料集 B150U 0034 說明文件 ## 1. 資料集概述 **B150U 0034.zip** 是一個針對水稻病害的高光譜影像資料集,資料集中的主要內容包括高光譜影像 (HDR 檔案) 與標註資料 (XML 檔案)。此資料集的目的是利用高光譜技術,針對波長範圍 **470 nm 至 900 nm** 的多個頻段進行感染水稻葉芽線蟲之種子的影像蒐集,並對病害進行標註。這些影像可用於分析病害發展的特徵,並支援病害預測模型的開發。 ## 2. 資料集內容 資料集包含以下主要檔案類型: - **高光譜影像檔 (RAW 檔案)**: - 每個檔案對應於不同波段下的水稻種子影像,這些影像捕捉了感染葉芽線蟲的種子在特定波長下的反射光譜信息。每個檔案均保存完整的光譜數據,包含可見光與近紅外波段(470 nm 到 900 nm),並依波長區分。 - **高光譜影像檔 (HDR 檔案)**: - 這是儲存raw檔裡面的詳細資料。 - **標註檔 (XML 檔案)**: - XML 檔案包含對影像中病害情況的標註信息,記錄了每個樣本的感染程度。標註的數據包括: - 種子是否被葉芽線蟲感染。 - 感染的嚴重程度,標註為輕度、中度或嚴重感染。 - **Meta數據檔 (metadata.csv)**: - 該檔案列出了每個樣本的詳細信息,包括樣本編號、拍攝時間、影像的波段範圍、影像拍攝條件以及感染標註等。 ## 3. 資料蒐集與處理流程 ### 3.1 影像蒐集 影像是透過高光譜相機在實驗室環境下進行拍攝,波長範圍從 **470 nm 到 900 nm**,涵蓋可見光與近紅外光譜。每張影像捕捉了特定波長下的種子反射光譜特徵,並針對水稻葉芽線蟲感染的不同情況進行蒐集,形成一個多維度的高光譜資料庫。 ### 3.2 標註資料 每個影像樣本根據種子是否受到葉芽線蟲感染,以及感染程度進行詳細標註: - **0**:未感染。 - **1**:有感染。 這些標註資料存放於 XML 檔案中,並以結構化方式儲存相關的標註信息,以便後續分析與模型訓練。 ### 3.3 高光譜數據處理 高光譜影像的每一個波段資料都需要進行校正與處理,以消除噪音與環境因素的影響。通常需要進行正規化與降噪處理,確保影像數據的準確性。後續可針對不同波段範圍的數據進行分析,以找出對於病害診斷最具代表性的波段。 ## 4. 資料應用場景 ### 4.1 病害預測模型訓練 本資料集可應用於機器學習或深度學習模型的訓練,尤其是在病害預測方面。研究人員可以利用高光譜影像的豐富數據,分析不同波段範圍內的光譜特徵,從而預測種子是否受到葉芽線蟲感染,並建立準確的病害預警系統。 ### 4.2 高光譜影像分析 透過分析不同波段範圍內的高光譜影像,可以進行水稻病害的早期診斷,並輔助研究人員深入理解葉芽線蟲感染的機制。這有助於開發病害預警系統,實現作物病害的自動檢測和實時監控。 <img src="https://i.ibb.co/q7mjHJp/message-Image-1729059337625.jpg" alt="範例圖片" width="500"> ## 5. 使用方法 ### 5.1 資料使用要求 使用本資料集時,建議使用具備高光譜數據分析功能的工具進行資料處理,例如 Python 的 `spectral` 庫或其他常用的影像處理工具(如 `OpenCV` 和 `scikit-image`)。對於進行深度學習訓練的研究者,可以使用 TensorFlow 或 PyTorch 等框架來進行高光譜數據的預處理與模型訓練。 ### 5.2 資料預處理建議 - 在分析前,建議對高光譜影像進行正規化處理,以確保數據的統一性。 - 根據研究需求,可篩選出對病害診斷較為敏感的波段範圍進行特徵選取與模型訓練。 ## 6. 可能的研究發展方向 - **病害影像檢測模型開發**:可以基於高光譜影像數據開發專門的病害檢測模型,尤其是針對水稻葉芽線蟲感染的早期診斷,從而提高作物產量並減少病害損失。 - **波段範圍篩選與優化**:透過分析不同波段對病害特徵的影響,研究人員可以篩選出對病害檢測最具敏感度的波段,並進一步優化模型的準確性與效率。 ---
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    # 水稻病害高光譜影像資料集 B150U 0034 說明文件 ## 1. 資料集概述 **B150U 0034.zip** 是一個針對水稻病害的高光譜影像資料集,資料集中的主要內容包括高光譜影像 (HDR 檔案) 與標註資料 (XML 檔案)。此資料集的目的是利用高光譜技術,針對波長範圍 **470 nm 至 900 nm** 的多個頻段進行感染水稻葉芽線蟲之種子的影像蒐集,並對病害進行標註。這些影像可用於分析病害發展的特徵,並支援病害預測模型的開發。 ## 2. 資料集內容 資料集包含以下主要檔案類型: - **高光譜影像檔 (RAW 檔案)**: - 每個檔案對應於不同波段下的水稻種子影像,這些影像捕捉了感染葉芽線蟲的種子在特定波長下的反射光譜信息。每個檔案均保存完整的光譜數據,包含可見光與近紅外波段(470 nm 到 900 nm),並依波長區分。 - **高光譜影像檔 (HDR 檔案)**: - 這是儲存raw檔裡面的詳細資料。 - **標註檔 (XML 檔案)**: - XML 檔案包含對影像中病害情況的標註信息,記錄了每個樣本的感染程度。標註的數據包括: - 種子是否被葉芽線蟲感染。 - 感染的嚴重程度,標註為輕度、中度或嚴重感染。 - **Meta數據檔 (metadata.csv)**: - 該檔案列出了每個樣本的詳細信息,包括樣本編號、拍攝時間、影像的波段範圍、影像拍攝條件以及感染標註等。 ## 3. 資料蒐集與處理流程 ### 3.1 影像蒐集 影像是透過高光譜相機在實驗室環境下進行拍攝,波長範圍從 **470 nm 到 900 nm**,涵蓋可見光與近紅外光譜。每張影像捕捉了特定波長下的種子反射光譜特徵,並針對水稻葉芽線蟲感染的不同情況進行蒐集,形成一個多維度的高光譜資料庫。 ### 3.2 標註資料 每個影像樣本根據種子是否受到葉芽線蟲感染,以及感染程度進行詳細標註: - **0**:未感染。 - **1**:有感染。 這些標註資料存放於 XML 檔案中,並以結構化方式儲存相關的標註信息,以便後續分析與模型訓練。 ### 3.3 高光譜數據處理 高光譜影像的每一個波段資料都需要進行校正與處理,以消除噪音與環境因素的影響。通常需要進行正規化與降噪處理,確保影像數據的準確性。後續可針對不同波段範圍的數據進行分析,以找出對於病害診斷最具代表性的波段。 ## 4. 資料應用場景 ### 4.1 病害預測模型訓練 本資料集可應用於機器學習或深度學習模型的訓練,尤其是在病害預測方面。研究人員可以利用高光譜影像的豐富數據,分析不同波段範圍內的光譜特徵,從而預測種子是否受到葉芽線蟲感染,並建立準確的病害預警系統。 ### 4.2 高光譜影像分析 透過分析不同波段範圍內的高光譜影像,可以進行水稻病害的早期診斷,並輔助研究人員深入理解葉芽線蟲感染的機制。這有助於開發病害預警系統,實現作物病害的自動檢測和實時監控。 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") ## 5. 使用方法 ### 5.1 資料使用要求 使用本資料集時,建議使用具備高光譜數據分析功能的工具進行資料處理,例如 Python 的 `spectral` 庫或其他常用的影像處理工具(如 `OpenCV` 和 `scikit-image`)。對於進行深度學習訓練的研究者,可以使用 TensorFlow 或 PyTorch 等框架來進行高光譜數據的預處理與模型訓練。 ### 5.2 資料預處理建議 - 在分析前,建議對高光譜影像進行正規化處理,以確保數據的統一性。 - 根據研究需求,可篩選出對病害診斷較為敏感的波段範圍進行特徵選取與模型訓練。 ## 6. 可能的研究發展方向 - **病害影像檢測模型開發**:可以基於高光譜影像數據開發專門的病害檢測模型,尤其是針對水稻葉芽線蟲感染的早期診斷,從而提高作物產量並減少病害損失。 - **波段範圍篩選與優化**:透過分析不同波段對病害特徵的影響,研究人員可以篩選出對病害檢測最具敏感度的波段,並進一步優化模型的準確性與效率。 ---