Results 51 to 60 of about 1,061,712 (345)

Satellite imagery of lengthy territories with complex configuration with the account of attitude and positioning errors

open access: yesE3S Web of Conferences, 2019
A method for monitoring attitude and positioning errors when taking satellite imagery of lengthy territories with complex configuration using an ultra-high spatial resolution optical-electronic scanner is described in the article. The results of modeling
Mozgovoy Dmitriy   +3 more
doaj   +1 more source

Simulated satellite imagery of lengthy territories with complex configuration

open access: yesE3S Web of Conferences, 2019
The study presents the results of creating simulated satellite imagery of lengthy territories with complex configuration using data from satellites with optical-electronic scanners of ultrahigh spatial resolution.
Mozgovoy Dmitriy   +3 more
doaj   +1 more source

CoastSat: A Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery

open access: yesEnvironmental Modelling & Software, 2019
CoastSat is an open-source software toolkit written in Python that enables the user to obtain time-series of shoreline position at any sandy coastline worldwide from 30+ years (and growing) of publicly available satellite imagery.
Kilian Vos   +4 more
semanticscholar   +1 more source

Using satellite imagery to understand and promote sustainable development [PDF]

open access: yesScience, 2019
Satellite monitoring of development Recent years have witnessed rapid growth in satellite-based approaches to quantifying aspects of land use, especially those monitoring the outcomes of sustainable development programs. Burke et al. reviewed this recent
M. Burke   +3 more
semanticscholar   +1 more source

The evaluation of Corona and Ikonos satellite imagery for archaeological applications in a semi-arid environment [PDF]

open access: yes, 2004
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  

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

open access: yesMolecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq   +8 more
wiley   +1 more source

An attention-based U-Net for detecting deforestation within satellite sensor imagery

open access: yesInternational Journal of Applied Earth Observation and Geoinformation, 2022
In this paper, we implement and analyse an Attention U-Net deep network for semantic segmentation using Sentinel-2 satellite sensor imagery, for the purpose of detecting deforestation within two forest biomes in South America, the Amazon Rainforest and ...
D. John, Ce Zhang
semanticscholar   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

open access: yesFEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová   +2 more
wiley   +1 more source

OBJECT-BASED GREENHOUSE CLASSIFICATION FROM HIGH RESOLUTION SATELLITE IMAGERY: A CASE STUDY ANTALYA-TURKEY [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Pixel-based classification method is widely used with the purpose of detecting land use and land cover with remote sensing technology. Recently, object-based classification methods have begun to be used as well as pixel-based classification method on ...
M. Coslu   +5 more
doaj   +1 more source

DOCC: Deep one-class crop classification via positive and unlabeled learning for multi-modal satellite imagery

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2021
Large-scale crop mapping is an important task in agricultural resource monitoring, but it does usually require the ground-truth labels of all the land-cover types in the remotely sensed imagery.
Lei Lei   +5 more
doaj   +1 more source

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