1 |
SpaceNet, 2020. SpaceNet on AWS, http://explore.digital globe.com/spacenet, Accessed on Jun. 16, 2020.
|
2 |
Johnson, J., A. Alahi, and L. Fei-Fei, 2016. Perceptual losses for real-time style transfer and superresolution, Proc. of the European Conference on Computer Vision, Amsterdam, Oct. 11-14, pp. 694-711.
|
3 |
Keys, R., 1981. Cubic convolution interpolation for digital image processing, IEEE Transactions on Acoustics, Speech, and Signal Processing, 29(6): 1153-1160.
DOI
|
4 |
Kim, J., J. K. Lee, and K. M. Lee, 2016. Accurate image super-resolution using very deep convolutional networks, Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, Jun. 27-30, pp. 1646-1654.
|
5 |
Kingma, D. and J. Ba, 2014. Adam: A method for stochastic optimization, arXiv preprint arXiv:1412.6980.
|
6 |
Arjovsky, M., S. Chintala, and L. Bottou, 2017. Wasserstein GAN, arXiv preprint arXiv:1701.07875.
|
7 |
Bosch, M., C. M. Gifford, and P. A. Rodriguez, 2018. Super-Resolution for Overhead Imagery Using DenseNets and Adversarial Learning, Proc. of 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Tahoe, NV, Mar. 12-15, pp. 1414-1422.
|
8 |
Canny, J., 1986. A computational approach to edge detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6): 679-698.
DOI
|
9 |
Dong, C., C.C. Loy, K. He, and X. Tang, 2014. Learning a deep convolutional network for image superresolution, Proc. of the European Conference on Computer Vision, Zurich, Sep. 6-12, vol. 8692, pp. 184-199.
|
10 |
Feldman, J. A., G. M. Feldman, G. Falk, G. Grape, J. Pearlman, I. Sobel, and J. M. Tenebaum, 1969. The stanford hand-eye project, Proc. of International Joint Conferences on Artificial Intelligence Organization, Washington, D.C., May 7-9, pp. 521-526.
|
11 |
Fernandez-Beltran, R., P. Latorre-Carmona, and F. Pla, 2017. Single-frame super-resolution in remote sensing: a practical overview, International Journal of Remote Sensing, 38(1): 314-354.
DOI
|
12 |
Goodfellow, I., J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, 2014. Generative adversarial nets, Proc. of Neural Information Processing Systems Conference, Montreal, Dec. 8-13, pp. 2672-2680.
|
13 |
Simonyan, K. and A. Zisserman, 2014. Very deep convolutional networks for large scale image recognition, arXiv preprint arXiv:1409.1556.
|
14 |
Ledig, C., L. Theis, F. Huszar, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi, 2017. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network, Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, Jul. 21-26, pp. 105-114.
|
15 |
Liebel, L. and M. Korner, 2016. Single-Image Super Resolution for Multispectral Remote Sensing Data Using Convolutional Neural Networks, Proc. of 2016 XXIII ISPRS Congress, Prague, Jul. 12-19, vol. XLI-B3, pp. 883-890.
|
16 |
Park, S. C., M. K. Park, and M. G. Kang, 2003. Superresolution image reconstruction: a technical overview, IEEE Signal Processing Magazine, 20(3): 21-36.
DOI
|
17 |
Wang, X., K. Yu, S. Wu, J. Gu, Y. Liu, C. Dong, C. C. Loy, Y. Qiao, and X. Tang, 2018. ESRGAN: Enhanced super-resolution generative adversarial networks, Proc. of the European Conference on Computer Vision, Munich, Sep. 8-14, pp. 1-16.
|
18 |
Wang, Z., A. C. Bovik, H. R. Sheikh, and E. P. Simoncell, 2004. Image quality assessment: from error visibility to structural similarity, IEEE Transactions on Image Processing, 13(4): 600-612.
DOI
|
19 |
Haris, M., G. Shakhnarovich, and N. Ukita, 2018. Deep back-projection networks for super-resolution, Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, Jun. 18-22, pp. 1664-1673.
|
20 |
He, K., X. Zhang, S. Ren, and J. Sun, 2015. Delving deep into rectifiers: Surpassing human-level performance on ImageNet classification, Proc. of the IEEE International Conference on Computer Vision, Las Condes, Dec. 11-18, pp. 1026-1034.
|
21 |
Weber, N., M. Waechter, S.C. Amend, S. Guthe, and M. Goesele, 2016. Rapid, Detail-Preserving Image Downscaling, Association for Computing Machinery Transactions on Graphics, 35(6): 205.
|
22 |
Yan, Q., Y. Xu, X. Yang, and T. Q. Nguyen, 2015. Single image super resolution based on gradient profile sharpness, IEEE Transactions on Image Processing, 24(10): 3187-3202.
DOI
|