100 citations · 390 across the 21 of their papers we have counts for
6 papers · 1 filter
Tree Counting by Bridging 3D Point Clouds with Imagery
Lei Li, Tianfang Zhang, Zhongyu Jiang +6
Accurate and consistent methods for counting trees based on remote sensing data are needed to support sustainable forest management, assess climate change mitigation strategies, an…
BuildSeg: A General Framework for the Segmentation of Buildings
Lei Li, Tianfang Zhang, Stefan Oehmcke +2
Building segmentation from aerial images and 3D laser scanning (LiDAR) is a challenging task due to the diversity of backgrounds, building textures, and image quality. While curren…
LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing
Tianfang Zhang, Lei Li, Christian Igel +3
Deep unfolding networks (DUNs) have proven to be a viable approach to compressive sensing (CS). In this work, we propose a DUN called low-rank CS network (LR-CSNet) for natural ima…
Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass
Stefan Oehmcke, Lei Li, Katerina Trepekli +4
Quantification of forest biomass stocks and their dynamics is important for implementing effective climate change mitigation measures. The knowledge is needed, e.g., for local fore…
Attentional Feature Fusion
Yimian Dai, Fabian Gieseke, Stefan Oehmcke +2
Feature fusion, the combination of features from different layers or branches, is an omnipresent part of modern network architectures. It is often implemented via simple operations…
Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data
Stefan Oehmcke, Christoffer Thrysøe, Andreas Borgstad +3
Massive amounts of satellite data have been gathered over time, holding the potential to unveil a spatiotemporal chronicle of the surface of Earth. These data allow scientists to i…