242 citations · 393 across the 5 of their papers we have counts for
5 papers
High Quality Remote Sensing Image Super-Resolution Using Deep Memory Connected Network
Wenjia Xu, Guangluan Xu, Yang Wang +3
Single image super-resolution is an effective way to enhance the spatial resolution of remote sensing image, which is crucial for many applications such as target detection and ima…
Where is the Model Looking At?--Concentrate and Explain the Network Attention
Wenjia Xu, Jiuniu Wang, Yang Wang +3
Image classification models have achieved satisfactory performance on many datasets, sometimes even better than human. However, The model attention is unclear since the lack of int…
Deep Discriminative Representation Learning with Attention Map for Scene Classification
Jun Li, Daoyu Lin, Yang Wang +2
Learning powerful discriminative features for remote sensing image scene classification is a challenging computer vision problem. In the past, most classification approaches were b…
A Remote Sensing Image Dataset for Cloud Removal
Daoyu Lin, Guangluan Xu, Xiaoke Wang +3
Cloud-based overlays are often present in optical remote sensing images, thus limiting the application of acquired data. Removing clouds is an indispensable pre-processing step in…
MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
Daoyu Lin, Kun Fu, Yang Wang +2
With the development of deep learning, supervised learning has frequently been adopted to classify remotely sensed images using convolutional networks (CNNs). However, due to the l…