Remote sensing image colorization using symmetrical multi-scale DCGAN in YUV color space

2020 ◽  
Author(s):  
Min Wu ◽  
Xin Jin ◽  
Qian Jiang ◽  
Shin-jye Lee ◽  
Wentao Liang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Color Space ◽  
Remote Sensing Image ◽  
Image Colorization ◽  
Multi Scale

scholarly journals Remote Sensing Image Colorization Based on Deep Neural Networks with Multi-Scale Residual Receptive Filed

2021 ◽  
Vol 33 (11) ◽  
pp. 1658-1667
Author(s):  
Jianan Feng ◽  
Qian Jiang ◽  
Xin Jin ◽  
Shin-Jye Lee ◽  
Shanshan Huang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Neural Networks ◽  
Deep Neural Networks ◽  
Remote Sensing Image ◽  
Image Colorization ◽  
Multi Scale

scholarly journals PCAN—Part-Based Context Attention Network for Thermal Power Plant Detection in Remote Sensing Imagery

2021 ◽  
Vol 13 (7) ◽  
pp. 1243
Author(s):  
Wenxin Yin ◽  
Wenhui Diao ◽  
Peijin Wang ◽  
Xin Gao ◽  
Ya Li ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Power Plants ◽  
State Of The Art ◽  
Thermal Power ◽  
Image Interpretation ◽  
Remote Sensing Image ◽  
Thermal Power Plants ◽  
Average Precision ◽  
Deep Convolutional Neural Networks ◽  
Multi Scale

The detection of Thermal Power Plants (TPPs) is a meaningful task for remote sensing image interpretation. It is a challenging task, because as facility objects TPPs are composed of various distinctive and irregular components. In this paper, we propose a novel end-to-end detection framework for TPPs based on deep convolutional neural networks. Specifically, based on the RetinaNet one-stage detector, a context attention multi-scale feature extraction network is proposed to fuse global spatial attention to strengthen the ability in representing irregular objects. In addition, we design a part-based attention module to adapt to TPPs containing distinctive components. Experiments show that the proposed method outperforms the state-of-the-art methods and can achieve 68.15% mean average precision.

scholarly journals A Remote-Sensing Image Pan-Sharpening Method Based on Multi-Scale Channel Attention Residual Network

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 27163-27177
Author(s):  
Xin Li ◽  
Feng Xu ◽  
Xin Lyu ◽  
Yao Tong ◽  
Ziqi Chen ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Image ◽  
Residual Network ◽  
Multi Scale
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