Results 31 to 40 of about 3,251,403 (347)

Remote Sensing Image Scene Classification: Benchmark and State of the Art [PDF]

open access: yesProceedings of the IEEE, 2017
Remote sensing image scene classification plays an important role in a wide range of applications and hence has been receiving remarkable attention.
Gong Cheng, Junwei Han, Xiaoqiang Lu
semanticscholar   +1 more source

A Systematic Review on Advancements in Remote Sensing for Assessing and Monitoring Land Use and Land Cover Changes Impacts on Surface Water Resources in Semi-Arid Tropical Environments

open access: yesRemote Sensing, 2023
This study aimed to provide a systematic overview of the progress made in utilizing remote sensing for assessing the impacts of land use and land cover (LULC) changes on water resources (quality and quantity).
M. Mashala   +4 more
semanticscholar   +1 more source

Retraction: He, S., et al. The Exploration of Urban Material Anabolism Based on RS and GIS Methods: Case Study in Jinchang, China. Remote Sens. 2020, 12, 370

open access: yesRemote Sensing, 2020
The Remote Sensing Editorial Office has been made aware that the published paper [...]
Remote Sensing Editorial Office
doaj   +1 more source

RS-Mamba for Large Remote Sensing Image Dense Prediction [PDF]

open access: yesIEEE Transactions on Geoscience and Remote Sensing
Context modeling is critical for remote sensing image dense prediction tasks. Nowadays, the growing size of very-high-resolution (VHR) remote sensing images poses challenges in effectively modeling context.
Sijie Zhao   +5 more
semanticscholar   +1 more source

A Review of Practical AI for Remote Sensing in Earth Sciences

open access: yesRemote 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.
Bhargavi Janga   +3 more
semanticscholar   +1 more source

A Review of Deep-Learning Methods for Change Detection in Multispectral Remote Sensing Images

open access: yesRemote Sensing, 2023
Remote sensing is a tool of interest for a large variety of applications. It is becoming increasingly more useful with the growing amount of available remote sensing data.
Eleonora Jonasova Parelius
semanticscholar   +1 more source

Global inequality remotely sensed [PDF]

open access: yesProceedings of the National Academy of Sciences, 2021
Significance Reliable data on economic inequality are largely limited to North America and Western Europe. As a result, we know the least about areas where inequality presents the most serious developmental policy challenge. We demonstrate that spatial variation in night-light emitted per person can reflect the distribution of income.
Bas van Bavel   +5 more
openaire   +8 more sources

Erratum: Kromer, R.A.; et al. A 4D Filtering and Calibration Technique for Small-Scale Point Cloud Change Detection with a Terrestrial Laser Scanner. Remote Sensing 2015, 7, 13029–13052

open access: yesRemote Sensing, 2015
The Remote Sensing Editorial Office wishes to make the following erratum to this paper [1]. [...]
Remote Sensing Editorial Office
doaj   +1 more source

Erratum: Raney, R.K. Hybrid Dual-Polarization Synthetic Aperture Radar. Remote Sens. 2019, 11, 1521

open access: yesRemote Sensing, 2019
Due to a technical problem, Figure 1 in [...]
Remote Sensing Editorial Office
doaj   +1 more source

Small Object Detection Based on Deep Learning for Remote Sensing: A Comprehensive Review

open access: yesRemote Sensing, 2023
With the accelerated development of artificial intelligence, remote-sensing image technologies have gained widespread attention in smart cities. In recent years, remote sensing object detection research has focused on detecting and counting small dense ...
X. Wang   +4 more
semanticscholar   +1 more source

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