1 citations · 1 across the 1 of their papers we have counts for
2 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)…