Per-pixel bias-variance decomposition of continuous errors in data-driven geospatial modeling: A case study in environmental remote sensing
Sign Up to like & getrecommendations! Published in 2017 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2017.11.001
Abstract: Abstract This study investigates the usefulness of a per-pixel bias-variance error decomposition (BVD) for understanding and improving spatially-explicit data-driven models of continuous variables in environmental remote sensing (ERS). BVD is a model evaluation method originated… read more here.
Keywords: pixel bias; per pixel; remote sensing; model ... See more keywords
Per-pixel energy calibration of photon counting detectors
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Instrumentation"
DOI: 10.1088/1748-0221/12/03/c03085
Abstract: Energy resolving performance of spectral CT systems is influenced by the accuracy of the detector's energy calibration. Global energy calibration maps a given threshold to the average energy response of all pixels of the detector.… read more here.
Keywords: technique; per pixel; energy; energy calibration ... See more keywords
Per-Pixel Noise Estimation in Hyperspectral Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3064998
Abstract: Modeling of the underlying noise in a hyperspectral image reveals important information about the characteristics of the hyperspectral sensor and the image itself. While the focus in the literature has mostly been on the estimation… read more here.
Keywords: noise estimation; noise; pixel noise; pixel ... See more keywords
Uncertainty-Driven Dense Two-View Structure From Motion
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3242153
Abstract: This work introducesan effective and practical solution to the dense two-view structure from motion (SfM) problem. One vital question addressed is how to mindfully use per-pixel optical flow correspondence betweentwo frames for accurate pose estimation—as… read more here.
Keywords: uncertainty; per pixel; flow; optical flow ... See more keywords