Results 51 to 60 of about 2,178,691 (202)
Turbulent Velocity Structure in Molecular Clouds
We compare velocity structure in the Polaris Flare molecular cloud at scales ranging from 0.015 pc to 20 pc to simulations of supersonic hydrodynamic and MHD turbulence computed with the ZEUS MHD code.
Mac Low, Mordecai-Mark +1 more
core +1 more source
Robust Topological Navigation via Convolutional Neural Network Feature and Sharpness Measure
Visual navigation for mobile robots has emerged in recent years. Among the various methods, topological navigation using visual information provides a scalable map representation for large-scale mapping and navigation.
Jiayi Ma, Ji Zhao
doaj +1 more source
Collective Impact Case Study: The Road Map Project [PDF]
The Road Map Project seeks to double the number of students on track to graduate with a postsecondary degree or career credential in the South Seattle and South King County, Wash., region by 2020, as well as to close achievement gaps.
core
Accurate, cost effective and timely multiple spatial-temporal information on the patterns of land cover change is crucial for environmental management and understanding.
Morgan Simbangala Simbangala +6 more
doaj +1 more source
IRA-MRSNet: A Network Model for Change Detection in High-Resolution Remote Sensing Images
Deep learning (DL)-based change detection (CD) methods for high-resolution (HR) remote sensing images can still be improved by effective acquisition of multi-scale feature and accurate detection of the edge of change regions.
Jie Ling +4 more
doaj +1 more source
Fine-scale mapping of High Nature Value farmlands: novel approaches to improve the management of rural biodiversity and ecosystem services [PDF]
High Nature Value farmlands (HNVf) are defined as rural lands characterized by high levels of biodiversity and extensive farming practices. These farmlands are also known to provide important ecosystems services, such as food production, pollination ...
Alonso, J. +3 more
core
The monitoring of irrigated areas still represents a complex and laborious challenge in land use classification. The extent and location of irrigated areas vary in both methodology and scale. One major reason for discrepancies is the choice of spatial resolution.
Meier, Jonas, Mauser, Wolfram
openaire +2 more sources
Modeling river bed morphology, roughness, and surface sedimentology using high resolution terrestrial laser scanning [PDF]
Recent advances in technology have revolutionized the acquisition of topographic data, offering new perspectives on the structure and morphology of the Earth's surface.
Brasington, J. +2 more
core +2 more sources
Quantitative relations between spatial similarity degree and map scale change in multi-scale map spaces play important roles in map generalization and construction of spatial data infrastructure. Nevertheless, no achievements have been made regarding this issue.
openaire +1 more source
We present a novel convolutional neural network (CNN)-based change detection framework for locating changed building instances as well as changed building pixels from very high resolution (VHR) aerial images. The distinctive advantage of the framework is
Shunping Ji +3 more
doaj +1 more source

