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Jointly network image processing: multi-task image semantic segmentation of indoor scene based on CNN
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Jointly network image processing: multi-task image semantic segmentation of indoor scene based on CNN

Huang, Li ; He, Meiling ; Tan, Chong ; Jiang, Du ; Li, Gongfa ; Yu, Hui

IET image processing, 2020-12, Vol.14 (15), p.3689-3697 [Periódico revisado por pares]

The Institution of Engineering and Technology

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BAS ^Net: Boundary-Aware Semi-Supervised Semantic Segmentation Network for Very High Resolution Remote Sensing Images
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BAS ^Net: Boundary-Aware Semi-Supervised Semantic Segmentation Network for Very High Resolution Remote Sensing Images

Sun, Xian ; Shi, Aijun ; Huang, Hai ; Mayer, Helmut

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.5398-5413 [Periódico revisado por pares]

Piscataway: IEEE

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Sparse representation based computed tomography images reconstruction by coupled dictionary learning algorithm
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Sparse representation based computed tomography images reconstruction by coupled dictionary learning algorithm

Deeba, Farah ; Kun, She ; Ali Dharejo, Fayaz ; Zhou, Yuanchun

IET image processing, 2020-09, Vol.14 (11), p.2365-2375 [Periódico revisado por pares]

The Institution of Engineering and Technology

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4
Identification of malnutrition and prediction of BMI from facial images using real‐time image processing and machine learning
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Identification of malnutrition and prediction of BMI from facial images using real‐time image processing and machine learning

C, Dhanamjayulu ; N, Nizhal U ; Maddikunta, Praveen Kumar Reddy ; Gadekallu, Thippa Reddy ; Iwendi, Celestine ; Wei, Chuliang ; Xin, Qin

IET image processing, 2022-02, Vol.16 (3), p.647-658 [Periódico revisado por pares]

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Simultaneous image fusion and denoising with adaptive sparse representation
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Simultaneous image fusion and denoising with adaptive sparse representation

Liu, Yu ; Wang, Zengfu

IET image processing, 2015-05, Vol.9 (5), p.347-357 [Periódico revisado por pares]

The Institution of Engineering and Technology

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6
Attention Receptive Pyramid Network for Ship Detection in SAR Images
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Attention Receptive Pyramid Network for Ship Detection in SAR Images

Zhao, Yan ; Zhao, Lingjun ; Xiong, Boli ; Kuang, Gangyao

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.2738-2756 [Periódico revisado por pares]

Piscataway: IEEE

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7
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects
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Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects

Ahmad, Muhammad ; Shabbir, Sidrah ; Roy, Swalpa Kumar ; Hong, Danfeng ; Wu, Xin ; Yao, Jing ; Khan, Adil Mehmood ; Mazzara, Manuel ; Distefano, Salvatore ; Chanussot, Jocelyn

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.968-999 [Periódico revisado por pares]

Piscataway: IEEE

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8
Detected text-based image retrieval approach for textual images
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Detected text-based image retrieval approach for textual images

Unar, Salahuddin ; Wang, Xingyuan ; Zhang, Chuan ; Wang, Chunpeng

IET image processing, 2019-02, Vol.13 (3), p.515-521 [Periódico revisado por pares]

The Institution of Engineering and Technology

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9
Change detection in SAR images using deep belief network: a new training approach based on morphological images
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Change detection in SAR images using deep belief network: a new training approach based on morphological images

Samadi, Farnaam ; Akbarizadeh, Gholamreza ; Kaabi, Hooman

IET image processing, 2019-10, Vol.13 (12), p.2255-2264 [Periódico revisado por pares]

The Institution of Engineering and Technology

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DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images
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DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images

Chen, Jie ; Yuan, Ziyang ; Peng, Jian ; Chen, Li ; Huang, Haozhe ; Zhu, Jiawei ; Liu, Yu ; Li, Haifeng

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.1194-1206 [Periódico revisado por pares]

Piscataway: IEEE

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