41 citations · 47 across the 7 of their papers we have counts for
7 papers
Robust Recursive Fusion of Multiresolution Multispectral Images with Location-Aware Neural Networks
Haoqing Li, Ricardo Borsoi, Tales Imbiriba +1
Multiresolution image fusion is a key problem for real-time satellite imaging and plays a central role in detecting and monitoring natural phenomena such as floods. It aims to solv…
Robust Interference Mitigation techniques for Direct Position Estimation
Haoqing Li, Shuo Tang, Peng Wu +1
Global Navigation Satellite System (GNSS) is pervasive in navigation and positioning applications, where precise position and time referencing estimations are required. Conventiona…
Online Fusion of Multi-resolution Multispectral Images with Weakly Supervised Temporal Dynamics
Haoqing Li, Bhavya Duvvuri, Ricardo Borsoi +4
Real-time satellite imaging has a central role in monitoring, detecting and estimating the intensity of key natural phenomena such as floods, earthquakes, etc. One important constr…
Recursive classification of satellite imaging time-series: An application to land cover mapping
Helena Calatrava, Bhavya Duvvuri, Haoqing Li +5
Despite the extensive body of literature focused on remote sensing applications for land cover mapping and the availability of high-resolution satellite imagery, methods for contin…
Neural Network-based OFDM Receiver for Resource Constrained IoT Devices
Nasim Soltani, Hai Cheng, Mauro Belgiovine +10
Orthogonal Frequency Division Multiplexing (OFDM)-based waveforms are used for communication links in many current and emerging Internet of Things (IoT) applications, including the…
Online multi-resolution fusion of space-borne multispectral images
Haoqing Li, Bhavia Duvviri, Ricardo Borsoi +4
Satellite imaging has a central role in monitoring, detecting and estimating the intensity of key natural phenomena. One important feature of satellite images is the trade-off betw…
Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing
Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba +3
Autoencoder (AEC) networks have recently emerged as a promising approach to perform unsupervised hyperspectral unmixing (HU) by associating the latent representations with the abun…