536 research outputs found
Automatic three-dimensional features extraction: The case study of L'Aquila for collapse identification after April 06, 2009 earthquake
This paper illustrates an innovative methodology for post-earthquake collapsed building recognition, based on satellite-image classification methodologies and height variation information. Together, the techniques create a robust classification that seems to yield good results in this application field. In the first part of this study, two different feature extraction methodologies were compared, based respectively on pixel-based and object-oriented approaches. Then the classification results of the most accurate classification methodology, obtained on an eight band WorldView-2 monoscopic image, were completed with height variation information before and after the event. The height difference is calculated, comparing a photogrammetric DSM, obtained using a photogrammetric rigorous orbital model on some EROS-B 0.7 metre across-track stereopairs with a 'roof model' before the earthquake
Aspirin Use and Risk of Ovarian Cancer: More Player Pathways for a Common Starting Point?
Metformin and better survival in type 2 diabetes patients with NSCLC during EGFR‐TKI treatment: Implications of miR‐146a?
MSC-Exos Overexpressing miR-126 in Prostate Cancer: A Possible Strategy to Checkmate Cell Proliferation and Metastasis?
And what about epidermal growth factor (EGF) as the bridge between survivin and cardiac remodelling?
Immune Checkpoint Inhibitors in HIV-Positive Patients With NSCLC: Is it Time for Outlining a Protocol?
Is telomerase the final downstream effector of the escape of cardiomyocytes from the point-of-no-return of apoptosis in infants of diabetic mothers?
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