1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2021★ 1 cited
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…
eess.IV2021
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)…
cs.CV2019
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…