269 citations · 527 across the 5 of their papers we have counts for
5 papers
Improving Global Forest Mapping by Semi-automatic Sample Labeling with Deep Learning on Google Earth Images
Qian Shi, Xiaolei Qin, Lingyu Sun +6
Global forest cover is critical to the provision of certain ecosystem services. With the advent of the google earth engine cloud platform, fine resolution global land cover mapping…
Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions
Mengxi Liu, Qian Shi, Andrea Marinoni +3
Change detection, which aims to distinguish surface changes based on bi-temporal images, plays a vital role in ecological protection and urban planning. Since high resolution (HR)…
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning
Shengjie Liu, Qian Shi, Liangpei Zhang
Current hyperspectral image classification assumes that a predefined classification system is closed and complete, and there are no unknown or novel classes in the unseen data. How…
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification
Sheng-Jie Liu, Haowen Luo, Qian Shi
Although deep learning has achieved great success in image classification tasks, its performance is subject to the quantity and quality of training samples. For classification of p…
Multitask Deep Learning with Spectral Knowledge for Hyperspectral Image Classification
Shengjie Liu, Qian Shi
In this letter, we propose a multitask deep learning method for classification of multiple hyperspectral data in a single training. Deep learning models have achieved promising res…