Results 31 to 40 of about 24,024 (267)

Detection of Traffic Congestion in Optical Remote Sensing Imagery [PDF]

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008
A new approach for the traffic congestion detection in time series of optical digital camera images is proposed. It is well suited to derive various traffic parameters such as vehicle density, average vehicle velocity, beginning and end of congestion, length of congestion or for other traffic monitoring applications.
Palubinskas, Gintautas, Kurz, Franz, Reinartz, Peter   +2 more
openaire   +2 more sources

Automatic mapping of winter wheat planting structure and phenological phases using time-series sentinel data

Scientific Reports
The precise extraction of winter wheat planting structure holds significant importance for food security risk assessment, agricultural resource management, and governmental decision-making.
Changkui Sun, Yang Tao, Shanlei Liu, Shengyao Wang, Hongxin Xu, Quanfei Shen, Mengmeng Li, Huiyan Yu   +7 more
doaj   +1 more source

ISBDD Model for Classification of Hyperspectral Remote Sensing Imagery [PDF]

Sensors, 2018
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, Zhaopeng Xu, Huijie Zhao, Xinchen Huang, Zhenhong Li 0001, Jane Drummond, Daming Wang   +6 more
openaire   +6 more sources

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
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

HQ-ISNet: High-Quality Instance Segmentation for Remote Sensing Imagery

Remote Sensing, 2020
Instance segmentation in high-resolution (HR) remote sensing imagery is one of the most challenging tasks and is more difficult than object detection and semantic segmentation tasks. It aims to predict class labels and pixel-wise instance masks to locate
Hao Su, Shunjun Wei, Shan Liu, Jiadian Liang, Chen Wang, Jun Shi, Xiaoling Zhang   +6 more
doaj   +1 more source

Haze Detection and Removal in Remotely Sensed Multispectral Imagery [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2014
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, Richter, Rudolf, Müller, Rupert, Reinartz, Peter   +3 more
openaire   +3 more sources

GelMA‐based 3D spheroids recapitulate transcriptomic and functional hallmarks of myeloid sarcoma

FEBS Open Bio, EarlyView.
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, Elise Buret, Le Hoang Thanh Nguyen, Marion Cocheteux, Nicolas Touya, Mélanie Dhayer, Romain Dubois, Frank Lafont, Sebastien Janel, Patrice Maboudou, Steve Lancel, Philippe Marchetti   +11 more
wiley   +1 more source

Automated Processing of Remote Sensing Imagery Using Deep Semantic Segmentation: A Building Footprint Extraction Case

ISPRS International Journal of Geo-Information, 2020
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

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
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, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

Research and Implementation of Key Technologies for High Resolution Satellite Image Instant Service System [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
With the development of earth observation technology, the application of China's high-resolution satellite remote sensing imagery has achieved high-quality progress.
J. Liu, Y. Du
doaj   +1 more source