RSDehazeNet: Dehazing Network With Channel Refinement for Multispectral Remote Sensing Images

[1]  Kyoung Mu Lee,et al.  Enhanced Deep Residual Networks for Single Image Super-Resolution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[2]  Joo-Hwee Lim,et al.  DehazeGAN: When Image Dehazing Meets Differential Programming , 2018, IJCAI.

[3]  Jianhua Guo,et al.  Automated Extraction of Urban Water Bodies from ZY‐3 Multi‐Spectral Imagery , 2017 .

[4]  Xin Li,et al.  Perceptually Optimized Generative Adversarial Network for Single Image Dehazing , 2018, ArXiv.

[5]  Djemel Ziou,et al.  Is there a relationship between peak-signal-to-noise ratio and structural similarity index measure? , 2013, IET Image Process..

[6]  N. Lu,et al.  Single image dehazing for visible remote sensing based on tagged haze thickness maps , 2018 .

[7]  Dumitru Erhan,et al.  Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[8]  Mohinder Malhotra.  Single Image Haze Removal Using Dark Channel Prior , 2016 .

[9]  Jizheng Xu,et al.  An All-in-One Network for Dehazing and Beyond , 2017, ArXiv.

[10]  Wei Liu,et al.  Gated Fusion Network for Single Image Dehazing , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[11]  A. Cantor.  Optics of the atmosphere--Scattering by molecules and particles , 1978, IEEE Journal of Quantum Electronics.

[12]  Jian Zhang,et al.  Image dehazing based on dark channel prior and brightness enhancement for agricultural monitoring , 2018 .

[13]  Yun Fu,et al.  Residual Dense Network for Image Super-Resolution , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[14]  Tat-Seng Chua,et al.  SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[15]  Yoshua Bengio,et al.  Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.

[16]  Alan C. Bovik,et al.  Image information and visual quality , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[17]  Wei Tang,et al.  Single Remote Sensing Image Dehazing , 2014, IEEE Geoscience and Remote Sensing Letters.

[18]  C. Tucker.  Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

[19]  Jian Sun,et al.  Identity Mappings in Deep Residual Networks , 2016, ECCV.

[20]  Zhiguo Jiang,et al.  No-Reference Assessment on Haze for Remote-Sensing Images , 2016, IEEE Geoscience and Remote Sensing Letters.

[21]  J. P. Willis.  Visual Simulation of Atmospheric Haze , 1987, Comput. Graph. Forum.

[22]  Jia Deng,et al.  Stacked Hourglass Networks for Human Pose Estimation , 2016, ECCV.

[23]  Yong Du,et al.  Haze detection and removal in high resolution satellite image with wavelet analysis , 2002, IEEE Trans. Geosci. Remote. Sens..

[24]  Hou Jiang,et al.  Multi-Scale Residual Convolutional Neural Network for Haze Removal of Remote Sensing Images , 2018, Remote. Sens..

[25]  A. Bovik,et al.  A universal image quality index , 2002, IEEE Signal Processing Letters.

[26]  Haopeng Zhang,et al.  Dehazing for Multispectral Remote Sensing Images Based on a Convolutional Neural Network With the Residual Architecture , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[27]  Rudolf Richter,et al.  Atmospheric correction of satellite data with haze removal including a haze/clear transition region , 1996 .

[28]  Hazim Kemal Ekenel,et al.  Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[29]  Xue Chen,et al.  An improved method for cloud removal in ASTER data change detection , 2004, IGARSS.

[30]  Hongbo Liu,et al.  Numerical simulation of an extreme haze pollution event over the North China Plain based on initial and boundary condition ensembles , 2019, Atmospheric and Oceanic Science Letters.

[31]  Nikos Komodakis,et al.  Cloud-Gan: Cloud Removal for Sentinel-2 Imagery Using a Cyclic Consistent Generative Adversarial Networks , 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

[32]  Jizheng Xu,et al.  End-to-End United Video Dehazing and Detection , 2017, AAAI.

[33]  Iasonas Kokkinos,et al.  DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[34]  Jin Chen,et al.  An Iterative Haze Optimized Transformation for Automatic Cloud/Haze Detection of Landsat Imagery , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[35]  Liming Zhang,et al.  Airport Target Detection in Remote Sensing Images: A New Method Based on Two-Way Saliency , 2015, IEEE Geoscience and Remote Sensing Letters.

[36]  Dacheng Tao,et al.  DehazeNet: An End-to-End System for Single Image Haze Removal , 2016, IEEE Transactions on Image Processing.

[37]  Zhiguo Jiang,et al.  Haze Removal for a Single Remote Sensing Image Based on Deformed Haze Imaging Model , 2015, IEEE Signal Processing Letters.

[38]  P. Chavez.  An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data , 1988 .

[39]  Fan Yang,et al.  Image matching using structural similarity and geometric constraint approaches on remote sensing images , 2016 .

[40]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[41]  J. Cihlar,et al.  An image transform to characterize and compensate for spatial variations in thin cloud contamination of Landsat images , 2002 .

[42]  Zhaoxiang Zhang,et al.  Generative adversarial dehaze mapping nets , 2019, Pattern Recognit. Lett..

[43]  Jong Beom Ra,et al.  Enhancement of Optical Remote Sensing Images by Subband-Decomposed Multiscale Retinex With Hybrid Intensity Transfer Function , 2011, IEEE Geoscience and Remote Sensing Letters.

[44]  Paul E. Lewis,et al.  FLAASH, a MODTRAN4-based atmospheric correction algorithm, its application and validation , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[45]  Jinfeng Yi,et al.  Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD) , 2013, Machine Learning.

[46]  Kyoung Mu Lee,et al.  Accurate Image Super-Resolution Using Very Deep Convolutional Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[47]  Hou Jiang,et al.  A High-Fidelity Haze Removal Method Based on HOT for Visible Remote Sensing Images , 2016, Remote. Sens..

[48]  Lena Halounová,et al.  Haze removal for high‐resolution satellite data: a case study , 2007 .

[49]  Trevor Darrell,et al.  Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.

[50]  Peter Reinartz,et al.  Haze Detection and Removal in Remotely Sensed Multispectral Imagery , 2014, IEEE Transactions on Geoscience and Remote Sensing.