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Remote Sensing Satellite Image Database System Allowing Image Portion Retrievals Utilizing Principal Component Which Consists Spectral and Spatial Features Extracted from Imagery Data

机译：遥感卫星图像数据库系统，允许利用包含从影像数据中提取的光谱和空间特征的主成分进行影像部分检索

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作者
Kohei Arai;
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年度 2014
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2. Developing a New Algorithm Based on Statistical Analysis of the Spectral Behavior of Features for Extracting Training Data Automatically for Classification of Remotely Sensed Images [J] . Journal of the Indian Society of Remote Sensing . 2020,第4期

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3. Unmixing-based content retrieval system for remotely sensed hyperspectral imagery on GPUs [J] . Jorge Sevilla, Sergio Bernabe, Antonio Plaza Journal of supercomputing . 2014,第2期

机译：基于分解的内容检索系统，用于GPU上的遥感高光谱图像
4. Unified image computing method for spectral and spatial feature extraction from remotely sensed imagery [C] . Joji Iisaka, Natural Resources Canada, Victoria, Conference on nonlinear image processing . 1998

机译：用于从遥感影像中提取光谱和空间特征的统一图像计算方法
5. Comparing spectral-object-based approaches for extracting and classifying transportation features using high-resolution multi-spectral satellite imagery. [D] . Repaka, Sunil Reddy. 2004

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6. An Integrated Photogrammetric and Spatial Database Management System for Producing Fully Structured Data Using Aerial and Remote Sensing Images [O] . Farshid Farnood Ahmadi, Hamid Ebadi 2009

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7. Joint Local Block Grouping with Noise-Adjusted Principal Component Analysis for Hyperspectral Remote-Sensing Imagery Sparse Unmixing [O] . Ruyi Feng, Lizhe Wang, Yanfei Zhong 2019

机译：具有噪声调整后的主成分分析的联合本地块分组，用于高光谱遥感图像稀疏解密

Remote Sensing Satellite Image Database System Allowing Image Portion Retrievals Utilizing Principal Component Which Consists Spectral and Spatial Features Extracted from Imagery Data

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