Results 21 to 30 of about 409,949 (303)

Application of machine learning methods and Sentinel-2 data for multitemporal land-cover classification in conflict-affected areas [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
In many regions of the world, especially those affected by armed conflicts, urbanization, or intensive environmental transformations, a high dynamic of land use and land cover changes is observed.
K. Karwowska, A. Sekrecka, J. Ślesiński, M. Lewińska   +3 more
doaj   +1 more source

Integration of multi-source point clouds for bridge inventory – case study [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The accurate inventory of hydro-technical infrastructure, such as bridge structures, requires the seamless integration of data capturing both above-water and submerged geometries.
P. Jaczewska, K. Pasternak, A. Fryskowska-Skibniewska   +2 more
doaj   +1 more source

THE NATIONAL 3-D GEOSPATIAL INFORMATION WEB-BASED SERVICE OF KOREA [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013
3D geospatial information systems should provide efficient spatial analysis tools and able to use all capabilities of the third dimension, and a visualization.
D. T. Lee, C. W. Kim, I. G. Kang
doaj   +1 more source

Exploring Multi-Level Attention and Semantic Relationship for Remote Sensing Image Captioning

IEEE Access, 2020
Remote sensing image captioning, which aims to understand high-level semantic information and interactions of different ground objects, is a new emerging research topic in recent years.
Zhenghang Yuan, Xuelong Li, Qi Wang
doaj   +1 more source

Mental practice with motor imagery in stroke recovery: randomized controlled trial of efficacy [PDF]

, 2011
This randomized controlled trial evaluated the therapeutic benefit of mental practice with motor imagery in stroke patients with persistent upper limb motor weakness.
Scott, Clare L, Sara Joice, Clare L. Scott, Marie Johnston, Ietswaart, Magdalena, Dijkerman, H Chris, Scott, Claire, H. Chris Dijkerman, Dijkerman, H. Chris, Steven J.C. Hamilton, MacWalter, Ronald, Hamilton, Steven, MacWalter, Ronald S., Johnston, Marie, Magdalena Ietswaart, MacWalter, Ronald S, Ronald S. MacWalter, Joice, Sara, Scott, Clare L., Hamilton, Steven J. C., Hamilton, Steven J C   +20 more
core   +1 more source

Fusion of AlphaEarth Embeddings and Sentinel-1 Time-Series for Conflict-Related Urban Damage Mapping [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Conflict-related urban damage mapping requires methods that remain reliable when field access is limited, cloud cover is frequent, and urban conditions vary strongly.
J. Ślesiński, K. Karwowska, M. Lewińska   +2 more
doaj   +1 more source

Mental imagery. [PDF]

Psychological Review, 1903
n ...
openaire   +1 more source

Imagery and Possibility [PDF]

Noûs, 2019
AbstractWe often ascribe possibility to the scenes that are displayed by mental or nonmental sensory images. The paper presents a novel argument for thinking that we are prima facie justified in ascribing metaphysical possibility to what is displayed by suitable visual images, and it argues that many of our imagery‐based ascriptions of metaphysical ...
openaire   +2 more sources

Mixed 2D/3D Convolutional Network for Hyperspectral Image Super-Resolution

Remote Sensing, 2020
Deep learning-based hyperspectral image super-resolution (SR) methods have achieved great success recently. However, there are two main problems in the previous works.
Qiang Li, Qi Wang, Xuelong Li
doaj   +1 more source

Unsupervised Deep Noise Modeling for Hyperspectral Image Change Detection

Remote Sensing, 2019
Hyperspectral image (HSI) change detection plays an important role in remote sensing applications, and considerable research has been done focused on improving change detection performance.
Xuelong Li, Zhenghang Yuan, Qi Wang
doaj   +1 more source