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Recent Submissions
基於卷積神經網路之超解析方法對高光譜遙測影像分類的影響;Effect ...
應用衛星觀測氣膠光學厚度和種類辨識分析臺灣地區東北季風的境外長程傳送污...
利用Landsat-8資料校正Sentinel-2地表反射率以改進氣膠...
監督性變換器模型對變遷偵測應用的 預訓練與微調策略;Supervise...
將生物物理參數整合進行城市熱島效應分析:1997-2022年間,基於衛...
用於評估台灣春季乾旱時空變異性的氣象乾旱地表乾燥指數;Meteorol...
2015年至2022年西北太平洋颱風對浮游植物和海表溫度的動態反應;D...
臺灣鄰近海域的海洋熱浪及海洋寒潮事件
評估菲律賓珊瑚礁區域的海洋熱浪與海洋酸化現象;Evaluation o...
建議的 LSST-Former 深度學習架構基於少樣本學習,用於小資料...
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Showing items 1-10 of 130. (13 Page(s) Totally)
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2024-08-22
基於卷積神經網路之超解析方法對高光譜遙測影像分類的影響;Effect of CNN-based Super-Resolution on Hyperspectral Image Classification
張郁欣
;
Chang, Yu-Hsin
2024-07-30
利用Landsat-8資料校正Sentinel-2地表反射率以改進氣膠光學厚度之反演;The correction of Sentinel-2 Land surface reflectance with Landsat-8 data for aerosol optical depth retrieval
林佳嫻
;
Lin, Jia-Xian
2024-07-30
應用衛星觀測氣膠光學厚度和種類辨識分析臺灣地區東北季風的境外長程傳送污染;Analysis of Long-Range Transboundary Pollution during the Northeast Monsoon in Taiwan Using Aerosol Optical Depth and Aerosol Types from Satellite Observations
黃郁淇
;
Huang, Yu-Chi
2024-07-26
將生物物理參數整合進行城市熱島效應分析:1997-2022年間,基於衛星數據的曼齊尼 馬察帕(斯威士蘭)時空觀測。;Analyzing Urban Heat Island Effect with Integration of Biophysical Parameters: A Spatial-Temporal Observation from Satellite Data in Manzini-Matsapha, Eswatini, 1997-2022
柯倫
;
Nkosinathi, Mdluli Kolunga
2024-07-26
監督性變換器模型對變遷偵測應用的 預訓練與微調策略;Supervised transformer-based models pre-training and fine-tunning strategies for change detection
柯浩飛
;
Cardenas, Juan Felipe Giraldo
2024-07-18
用於評估台灣春季乾旱時空變異性的氣象乾旱地表乾燥指數;Meteorological Drought-informed Surface Dryness Index for Spring Drought Spatial-Temporal Variability Assessment in Taiwan
利小貓
;
Rismayatika, Fidya
2024-07-11
2015年至2022年西北太平洋颱風對浮游植物和海表溫度的動態反應;Dynamic Responses of Phytoplankton and Sea Surface Temperature to Typhoons in the Northwest Pacific (2015-2022)
蘇德澤
;
Putra, Dimas Pradana
2024-07-02
評估菲律賓珊瑚礁區域的海洋熱浪與海洋酸化現象;Evaluation of Marine Heatwaves and Ocean Acidification Phenomena on Coral Reef Regions in the Philippines
馬若思
;
Macagga, Rose Angeli Tabanao
2024-07-02
臺灣鄰近海域的海洋熱浪及海洋寒潮事件
林嘉祐
;
Lin, Jia-You
2024-06-24
建議的 LSST-Former 深度學習架構基於少樣本學習,用於小資料集的紅樹林損耗檢測;Proposed LSST-Former Deep Learning Architecture based on Few-Shot Learning for Mangrove Loss Detection with a Small Dataset
潘易翰
;
Panuntun, Ilham Adi
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