ISBDD Model for Classification of Hyperspectral Remote Sensing Imagery [PDF]
The diverse density (DD) algorithm was proposed to handle the problem of low classification accuracy when training samples contain interference such as mixed pixels. The DD algorithm can learn a feature vector from training bags, which comprise instances (pixels).
Na Li 0014 +6 more
openaire +6 more sources
An urban classification approach based on an object-oriented analysis of high resolution satellite imagery for a spatial structuring within urban areas [PDF]
Classifying the complex structures of urban morphology from high resolution remote sensing imagery comprises difficulties due to their spectral and spatial heterogeneity.
Taubenböck, Hannes +2 more
core
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
The proliferation of high-resolution remote sensing sensors and platforms imposes the need for effective analyses and automated processing of high volumes of aerial imagery. The recent advance of artificial intelligence (AI) in the form of deep learning (
Aleksandar Milosavljević
doaj +1 more source
Haze Detection and Removal in Remotely Sensed Multispectral Imagery [PDF]
Haze degrades optical data and reduces the accuracy of data interpretation. Haze detection and removal is a challenging and important task for optical multispectral data correction. This paper presents an empirical and automatic method for inhomogeneous haze detection and removal in medium- and high-resolution satellite optical multispectral images ...
Makarau, Aliaksei +3 more
openaire +3 more sources
Fusion of optical and radar remote sensing data: Munich city example [PDF]
Fusion of optical and radar remote sensing data is becoming an actual topic recently in various application areas though the results are not always satisfactory.
Palubinskas, Gintautas, Reinartz, Peter
core
GelMA‐based 3D spheroids recapitulate transcriptomic and functional hallmarks of myeloid sarcoma
GelMA 5% hydrogels support the formation of myeloid leukemia spheroids that recapitulate MS‐specific features, including G1 arrest, apoptosis, and ECM‐driven transcriptomic reprogramming. The 3D model mimicked soft‐tissue‐like stiffness and oxygen conditions, and transcriptomic convergence with primary MS samples confirmed its utility as a preclinical ...
Nicolas Germain +11 more
wiley +1 more source
Estimating farm dam storage using SPOT imagery [PDF]
Includes abstract.Includes bibliographical references.The objective of this study is to establish a methodology in which remote sensing can be used to support the monitoring of water resources.
Petersen, Nicole Jade
core +1 more source
The evaluation of Corona and Ikonos satellite imagery for archaeological applications in a semi-arid environment [PDF]
Archaeologists have been aware of the potential of satellite imagery as a tool almost since the first Earth remote sensing satellite. Initially sensors such as Landsat had a ground resolution which was too coarse for thorough archaeological prospection ...
Beck, Anthony Richard
core
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source

