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We explore the application of super-resolution techniques to satellite imagery, and the effects of these techniques on object detection algorithm performance.
Image Quality Assessment: From Error Visibility to Structural Similarity
Z. Wang, A. Bovik, H. Sheikh, and E. Simoncelli · 2004
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Simultaneous super-resolution and feature extraction for recognition of low-resolution faces
P. H. Hennings-Yeomans, S. Baker, and B. V. Kumar · 2008
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Robust low-resolution face identification and verification using high-resolution features
P. H. Hennings-Yeomans, B. V. Kumar, and S. Baker · 2009
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Sparse Representation-Based Super Resolution for Face Recognition At a Distance
E. Bilgazyev, B. Efraty, S. Shah, and I. Kakadiaris · 2011
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Synthesis-based recognition of low resolution faces
S. Shekhar, V. M. Patel, and R. Chellappa · 2011
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Is Image Super-resolution Helpful for Other Vision Tasks?
D. Dai, Y. Wang, Y. Chen, and L. Van Gool · 2015
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Practical application of random forests for super-resolution imaging
J. Huang and W. Siu · 2015
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SSD: single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. E. Reed, C. Fu, and A. C. Berg · 2015
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You only look once: Unified, real-time object detection
J. Redmon, S. K. Divvala, R. B. Girshick, and A. Farhadi · 2015
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Faster R-CNN: towards real-time object detection with region proposal networks
S. Ren, K. He, R. B. Girshick, and J. Sun · 2015
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ImageNet Large Scale Visual Recognition Challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
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Fast and accurate image upscaling with super-resolution forests
S. Schulter, C. Leistner, and H. Bischof · 2015
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Vehicle detection from highway satellite images via transfer learning
L. Cao, C. Wang, and J. Li · 2016
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A survey on object detection in optical remote sensing images
G. Cheng and J. Han · 2016
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R-FCN: object detection via region-based fully convolutional networks
J. Dai, Y. Li, K. He, and J. Sun · 2016
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Image Super-Resolution Using Deep Convolutional Networks
C. Dong, C. C. Loy, K. He, and X. Tang · 2016
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ULA preparing to launch WorldView-4 satellite from Vandenberg, Sept. 2016
Eric Shear · 2016
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Accurate Image Super-Resolution Using Very Deep Convolutional Networks
J. Kim, J. K. Lee, and K. M. Lee · 2016
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Deeply-Recursive Convolutional Network for Image Super-Resolution
J. Kim, J. K. Lee, and K. M. Lee · 2016
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Single-Image Super Resolution for Multispectral Remote Sensing Data Using Convolutional Neural Networks
L. Liebel and M. Körner · 2016
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A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning
T. N. Mundhenk, G. Konjevod, W. A. Sakla, and K. Boakye · 2016
Super-Resolution for Overhead Imagery Using DenseNets and Adversarial Learning
M. Bosch, C. M. Gifford, and P. A. Rodriguez · 2018
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Deep back-projection networks for super-resolution
M. Haris, G. Shakhnarovich, and N. Ukita · 2018
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Task-Driven Super Resolution: Object Detection in Low-resolution Images
M. Haris, G. Shakhnarovich, and N. Ukita · 2018
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Fast and accurate single image super-resolution via information distillation network
Z. Hui, X. Wang, and X. Gao · 2018
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xView: Objects in Context in Overhead Imagery
D. Lam, R. Kuzma, K. McGee, S. Dooley, M. Laielli, M. Klaric, Y. Bulatov, and B. McCord · 2018
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Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
W.-S. Lai, J.-B. Huang, N. Ahuja, and M.-H. Yang · 2017
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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi · 2017
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Enhanced Deep Residual Networks for Single Image Super-Resolution
B. Lim, S. Son, H. Kim, S. Nah, and K. M. Lee · 2017
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Accurate object localization in remote sensing images based on convolutional neural networks
Y. Long, Y. Gong, Z. Xiao, and Q. Liu · 2017
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Video Satellite Imagery Super Resolution via Convolutional Neural Networks
Y. Luo, L. Zhou, S. Wang, and Z. Wang · 2017
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Rapid broad area search and detection of Chinese surface-to-air missile sites using deep convolutional neural networks
R. A. Marcum, C. H. Davis, G. J. Scott, and T. W. Nivin · 2017
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Single satellite imagery simultaneous super-resolution and colorization using multi-task deep neural networks
H. Liu, Z. Fu, J. Han, L. Shao, and H. Liu · 2018
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Landsat Super-Resolution Enhancement Using Convolution Neural Networks and Sentinel-2 for Training
D. Pouliot, R. Latifovic, J. Pasher, and J. Duffe · 2018
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Single-frame super resolution of remote-sensing images by convolutional neural networks
C. Tuna, G. Unal, and E. Sertel · 2018
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You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery
A. Van Etten · 2018
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SpaceNet: A Remote Sensing Dataset and Challenge Series
A. Van Etten, D. Lindenbaum, and T. M. Bacastow · 2018
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Dota: A large-scale dataset for object detection in aerial images
G.-S. Xia, X. Bai, J. Ding, Z. Zhu, S. Belongie, J. Luo, M. Datcu, M. Pelillo, and L. Zhang · 2018
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Super-Resolution for “Jilin-1” Satellite Video Imagery via a Convolutional Network
A. Xiao, Z. Wang, L. Wang, Y. Ren, A. Xiao, Z. Wang, L. Wang, and Y. Ren · 2018
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Residual dense network for image super-resolution
Y. Zhang, Y. Tian, Y. Kong, B. Zhong, and Y. Fu · 2018
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Satellite Imagery Multiscale Rapid Detection with Windowed Networks
A. Van Etten · 2019
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