Results 61 to 70 of about 90,380 (319)

A new super resolution method based on combined sparse representations for remote sensing imagery

, 2013
While developing high resolution payloads, it is also necessary to make full use of the present spaceborne/airborne payload resources by super resolution (SR). SR is a technique of restoring a high spatial resolution image from a series of low resolution
JunBin Gao, Tang, Lingli, LingLi Tang, Li, Chuanrong, Guo, Yi (R18457), Yi Guo, Li, Feng, ChranRong Li, Gao, Junbin, Feng Li   +9 more
core   +1 more source

Enhancing Remote Sensing Image Super-Resolution with Efficient Hybrid Conditional Diffusion Model

, 2023
Recently, optical remote-sensing images have been widely applied in fields such as environmental monitoring and land cover classification. However, due to limitations in imaging equipment and other factors, low-resolution images that are unfavorable for ...
Guoling Bi, Lintao Han, Yisa Zhang, Yuchen Zhao, Hengyi Lv, Qing Han, Hailong Liu   +6 more
core   +1 more source

PolSAR Image Classification Using a Superpixel-Based Composite Kernel and Elastic Net

Remote Sensing, 2021
The presence of speckles and the absence of discriminative features make it difficult for the pixel-level polarimetric synthetic aperture radar (PolSAR) image classification to achieve more accurate and coherent interpretation results, especially in the ...
Yice Cao, Yan Wu, Ming Li, Wenkai Liang, Peng Zhang   +4 more
doaj   +1 more source

Adaptive-Attention Completing Network for Remote Sensing Image

, 2023
The reconstruction of missing pixels is essential for remote sensing images, as they often suffer from problems such as covering, dead pixels, and scan line corrector (SLC)-off.
Siqi Hui, Wenli Huang, Jinjun Wang, Ye Deng   +3 more
core   +1 more source

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

Comparison of manual and semi-automated synthetic training data creation for individual tree crown delineation [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Deep learning models in the field of individual tree detection and crown delineation (ITDCD) rely on large and high-quality annotation datasets to produce accurate predictions.
J. Steier, D. Iwaszczuk
doaj   +1 more source

Deep Hash Remote Sensing Image Retrieval with Hard Probability Sampling

, 2020
As satellite observation technology improves, the number of remote sensing images significantly and rapidly increases. Therefore, a growing number of studies are focusing on remote sensing image retrieval. However, having a large number of remote sensing
Zhen Wang, Qiuzhan Zhou, Pingping Liu, Guixia Gou, Xue Shan   +4 more
core   +1 more source

Heterozygous loss‐of‐function alleles associate the conserved 3′‐5′ exoribonuclease EXOSC10 with hypersensitivity to the anticancer drug 5‐fluorouracil

Molecular Oncology, EarlyView.
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain, Yann Le Page, Frédéric Percevault, Emmanuelle Becker, Luc Negroni, Almudena Fernandez, Marta Cantero, Diego Muñoz‐Santos, Lluís Montoliu, Cyrille Garnier, Michael Primig   +10 more
wiley   +1 more source

Introduction to remote sensing image registration [PDF]

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
For many applications, accurate and fast image registration of large amounts of multi-source data is the first necessary step before subsequent processing and integration. Image registration is defined by several steps and each step can be approached by various methods which all present diverse advantages and drawbacks depending on the type of data ...
openaire   +1 more source

Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler, Vivian Maas, Arian Taheri Amin, Jennifer Faber, Tamara Schaprian, Katharina Hill, Matthis Synofzik, Lisa H. Graf, Heike Jacobi, Manuela Lima, Ana F. Ferreira, Bart P. van de Warrenburg, Ilse H. J. Willemse, Dagmar Timmann, Andreas Thieme, Paola Giunti, Hector Garcia‐Moreno, Magda M. Santana, Jeannette Hübener‐Schmid, Elin H. Davies, Thomas Klockgether   +20 more
wiley   +1 more source