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A Study on Extracting Image Characteristics Considering Optimization and Similarity of Sparse Coding Bases

机译：考虑稀疏编码基础的优化和相似性的图像特征提取研究

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李炎坤;
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年度 2017
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正文语种 ja
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1. Extracting multi-features and optimizing feature space with sparse auto-encoder over WorldView-2 images [J] . Yang Dehe, Lv Jingguo, Zhang Danlu, International journal of remote sensing . 2019,第15a16期

机译：使用WorldView-2图像上的稀疏自动编码器提取多特征并优化特征空间
2. Extracting multi-features and optimizing feature space with sparse auto-encoder over WorldView-2 images [J] . Yang Dehe, Lv Jingguo, Zhang Danlu, International journal of remote sensing . 2019,第15a16期

机译：用稀疏自动编码器提取多特征和优化特征空间，通过WorldView-2图像
3. Structural similarity regularized and sparse coding based super-resolution for medical images [J] . Shuyuan Yang, Yaxin Sun, Yiguang Chen, Biomedical signal processing and control . 2012,第6期

机译：基于结构相似性正则化和稀疏编码的医学图像超分辨率
4. Extracting regions of interest from biological images with convolutional sparse block coding [C] . Marius Pachitariu, Adam Packer, Noah Pettit, Annual conference on Neural Information Processing Systems . 2013

机译：卷积稀疏块编码从生物图像中提取感兴趣区域
5. Sparse coding based feature representation method for remote sensing images. [D] . Oguslu, Ender. 2016

机译：基于稀疏编码的遥感图像特征表示方法。
6. Correction: Yan Y.; et al. Building Extraction Based on an Optimized Stacked Sparse Autoencoder of Structure and Training Samples Using LIDAR DSM and Optical Images. Sensors 2017 17 1957 [O] . Yiming Yan, Zhichao Tan, Nan Su, 2019

机译：校正：严Y。等。基于优化的堆叠稀疏自动编码器的建筑物提取并使用LIDAR DSM和光学图像训练样本。传感器2017171957
7. Single Satellite Imagery Super-Resolution Based on Hybrid Non-local Similarity Constrained Convolution Sparse Coding [O] . Nan Chen, Lichun Sui, Biao Zhang, 2021

机译：基于混合非局部相似性的单卫星图像超分辨率约束卷积稀疏编码

A Study on Extracting Image Characteristics Considering Optimization and Similarity of Sparse Coding Bases

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