Results 1 to 10 of about 449,979 (207)

N-STGAT: Spatio-Temporal Graph Neural Network Based Network Intrusion Detection for Near-Earth Remote Sensing

Remote Sensing, 2023
With the rapid development of the Internet of Things (IoT)-based near-Earth remote sensing technology, the problem of network intrusion for near-Earth remote sensing systems has become more complex and large-scale.
Zhijie Han, Yalu Wang
exaly   +2 more sources

Penetrating remote sensing: Next-generation remote sensing for transparent earth

The Innovation, 2023
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Lizhe Wang, Boxin Zuo, Yuan Le, Yifu Chen, Jun Li   +4 more
openaire   +4 more sources

A Review of Practical AI for Remote Sensing in Earth Sciences

Remote Sensing, 2023
Integrating Artificial Intelligence (AI) techniques with remote sensing holds great potential for revolutionizing data analysis and applications in many domains of Earth sciences.
Ziheng Sun, Nicoleta Cristea
exaly   +2 more sources

Semantic modelling of Earth Observation remote sensing

Expert Systems With Applications, 2022
Earth Observation (EO) based on Remote Sensing (RS) is gaining importance nowadays, since it offers a well-grounded technological framework for the development of advanced applications in multiple domains, such as climate change, precision agriculture, smart urbanism, safety, and many others.
Maria del Mar Roldan-Garcia, José F Aldana-Montes, José García-Nieto   +2 more
exaly   +6 more sources

A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research

Scientific Data, 2023
Spectral Indices derived from multispectral remote sensing products are extensively used to monitor Earth system dynamics (e.g. vegetation dynamics, water bodies, fire regimes).
David Montero, César Aybar, Miguel D. Mahecha, Francesco Martinuzzi, Maximilian Söchting, Sebastian Wieneke   +5 more
doaj   +2 more sources

Foundation Models for Remote Sensing and Earth Observation: A survey

IEEE Geoscience and Remote Sensing Magazine
Remote Sensing (RS) is a crucial technology for observing, monitoring, and interpreting our planet, with broad applications across geoscience, economics, humanitarian fields, etc. While artificial intelligence (AI), particularly deep learning, has achieved significant advances in RS, unique challenges persist in developing more intelligent RS systems ...
Aoran Xiao, Weihao Xuan, Junjue Wang, Jiaxing Huang, Dacheng Tao, Shijian Lu, Naoto Yokoya   +6 more
semanticscholar   +4 more sources

Assessing the Effect of Training Sampling Design on the Performance of Machine Learning Classifiers for Land Cover Mapping Using Multi-Temporal Remote Sensing Data and Google Earth Engine

Remote Sensing, 2021
Machine learning classifiers are being increasingly used nowadays for Land Use and Land Cover (LULC) mapping from remote sensing images. However, arriving at the right choice of classifier requires understanding the main factors influencing their ...
Shobitha Shetty, Mariana Belgiu, Prasun Kumar Gupta   +2 more
exaly   +2 more sources

Recent advances in using Chinese Earth observation satellites for remote sensing of vegetation

ISPRS Journal of Photogrammetry and Remote Sensing, 2023
Xuanlong Ma, Zhengyang Zhang
exaly   +2 more sources

Dynamic Calibration of GPS Effective Isotropic Radiated Power for GNSS-Reflectometry Earth Remote Sensing

IEEE Transactions on Geoscience and Remote Sensing, 2022
Global Navigation Satellite System (GNSS) Reflectometry uses reflected GNSS signals for Earth remote sensing applications. Absolute calibration of a Delay Doppler Map (DDM) requires an accurate estimate of the effective isotropic radiated power (EIRP) of
Tianlin Wang, C. Ruf, S. Gleason, A. O'Brien, D. McKague, B. Block, A. Russel   +6 more
semanticscholar   +1 more source

Cloud technologies as a tool of creating Earth Remote Sensing educational resources [PDF]

CTE, 2020
This article is dedicated to the Earth Remote Sensing (ERS), which the authors believe is a great way to teach geography and allows forming an idea of the actual geographic features and phenomena.
I. Kholoshyn, O. Bondarenko, O. Hanchuk, I. Varfolomyeyeva   +3 more
semanticscholar   +1 more source