Simultaneous detection of multiple debris via a cascade of numerical evaluations and a voting scheme for lines in an image sequence
Sign Up to like & getrecommendations! Published in 2017 at "Acta Astronautica"
DOI: 10.1016/j.actaastro.2016.10.032
Abstract: Abstract This paper presents a novel method to simultaneously detect multiple trajectories of space debris in an observation image sequence to establish a reliable model for space debris environment in Geosynchronous Earth Orbit (GEO). The… read more here.
Keywords: image; image sequence; debris; voting scheme ... See more keywords
Exploiting Spatial–Temporal Dynamics for Satellite Image Sequence Prediction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3261317
Abstract: Satellite image sequence prediction is a challenging and significant task. The existing deep learning methods for the task make predictions mainly based on low-level pixelwise features, which fail to model the sophisticated spatial–temporal features of… read more here.
Keywords: spatial temporal; image sequence; sequence prediction; satellite image ... See more keywords
Bayesian Unmixing of Hyperspectral Image Sequence With Composite Priors for Abundance and Endmember Variability
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3064708
Abstract: A hyperspectral image sequence can be obtained at different time in the same region from a hyperspectral sensor. The environmental change usually leads to variation in endmember reflectance, which has an important influence on unmixing… read more here.
Keywords: abundance endmember; endmember variability; image sequence; variability ... See more keywords
Point Tracking Technology of Sports Image Sequence Marks Based on Fuzzy Clustering Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/3814252
Abstract: Fuzzy clustering algorithms have received widespread attention in various fields. Point tracking technology has significant application importance in sports image data analysis. In order to solve the problem of limited tracking performance caused by the… read more here.
Keywords: technology; image sequence; clustering algorithm; point tracking ... See more keywords