Convergence Analysis of Spatial-Sampling-Based Algorithms for Time-Optimal Smooth Velocity Planning
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-019-01626-4
Abstract: For a vehicle on an assigned path, we consider the problem of finding the time-optimal speed law that satisfies kinematic and dynamic constraints, related to maximum speed and maximum tangential and transversal acceleration. We show… read more here.
Keywords: time optimal; time; convergence analysis; spatial sampling ... See more keywords
Active Seismic Exploration of Planetary Subsurfaces via Compressive Sensing
Sign Up to like & getrecommendations! Published in 2025 at "Earth and Space Science"
DOI: 10.1029/2024ea003828
Abstract: Geophysical measurements, such as seismic experiments, are a key target for scientific activities on planetary surfaces. Dense spatial sampling of such measurements is often desirable, and acquisition is traditionally performed at regular intervals. However, achieving… read more here.
Keywords: active seismic; exploration planetary; spatial sampling; compressive sensing ... See more keywords
Spatial Sampling in Monostatic Radar Imaging
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3028938
Abstract: This letter deals with microwave imaging via a migration-like inversion method. The aim is the determination of a spatial sampling scheme which allows to collect as low as possible spatial measurements and to preserve the… read more here.
Keywords: sampling monostatic; spatial sampling; monostatic radar; radar imaging ... See more keywords
Assessment of fish communities using environmental DNA: Effect of spatial sampling design in lentic systems of different sizes
Sign Up to like & getrecommendations! Published in 2019 at "Molecular Ecology Resources"
DOI: 10.1111/1755-0998.13105
Abstract: Freshwater fish biodiversity is quickly decreasing and requires effective monitoring and conservation. Environmental DNA (eDNA)‐based methods have been shown to be highly sensitive and cost‐efficient for aquatic biodiversity surveys, but few studies have systematically investigated… read more here.
Keywords: sampling design; environmental dna; lentic systems; spatial sampling ... See more keywords
Using data from related species to overcome spatial sampling bias and associated limitations in ecological niche modelling
Sign Up to like & getrecommendations! Published in 2017 at "Methods in Ecology and Evolution"
DOI: 10.1111/2041-210x.12832
Abstract: Ecological niche modelling (ENM) is used widely to aid in conservation planning and management, often focusing on rare species characterized by the biased observations associated with restricted geographic ranges, habitat specialization, small population size and… read more here.
Keywords: niche modelling; ecological niche; sampling bias; spatial sampling ... See more keywords
Effective strategies for correcting spatial sampling bias in species distribution models without independent test data
Sign Up to like & getrecommendations! Published in 2024 at "Diversity and Distributions"
DOI: 10.1111/ddi.13802
Abstract: Spatial sampling bias (SSB) is a feature of opportunistically sampled species records. Species distribution models (SDMs) built using these data (i.e. presence‐background models) can produce biased predictions of suitability across geographic space, confounding species occurrence… read more here.
Keywords: distribution; distribution models; spatial sampling; sampling bias ... See more keywords
Fast and flexible spatial sampling methods based on the Quadtree algorithm for ocean monitoring
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Marine Science"
DOI: 10.3389/fmars.2024.1365366
Abstract: Although existing in situ oceanographic data are sparse, such data still play an important role in submarine monitoring and forecasting. Considering budget limitations, an efficient spatial sampling scheme is critical to obtain data with much… read more here.
Keywords: based quadtree; methods based; algorithm; quadtree algorithm ... See more keywords
LDS3Pool: Pooling with Quasi-Random Spatial Sampling via Low-Discrepancy Sequences and Hilbert Ordering
Sign Up to like & getrecommendations! Published in 2025 at "Mathematics"
DOI: 10.3390/math13183016
Abstract: Feature map pooling in convolutional neural networks (CNNs) serves the dual purpose of reducing spatial dimensions and enhancing feature invariance. Current pooling approaches face a fundamental trade-off: deterministic methods (e.g., MaxPool and AvgPool) lack regularization… read more here.
Keywords: low discrepancy; quasi random; spatial sampling; random spatial ... See more keywords