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Remote Sensing Image Scene Classification: Benchmark and State of the Art [PDF]
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
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
The Remote Sensing Editorial Office has been made aware that the published paper [...]
Remote Sensing Editorial Office
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RS-Mamba for Large Remote Sensing Image Dense Prediction [PDF]
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
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
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]
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
The Remote Sensing Editorial Office wishes to make the following erratum to this paper [1]. [...]
Remote Sensing Editorial Office
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Erratum: Raney, R.K. Hybrid Dual-Polarization Synthetic Aperture Radar. Remote Sens. 2019, 11, 1521
Due to a technical problem, Figure 1 in [...]
Remote Sensing Editorial Office
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Small Object Detection Based on Deep Learning for Remote Sensing: A Comprehensive Review
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