Results 31 to 40 of about 3,331,007 (297)

Transformers in Remote Sensing: A Survey [PDF]

open access: yesRemote Sensing, 2022
Deep learning-based algorithms have seen a massive popularity in different areas of remote sensing image analysis over the past decade. Recently, transformer-based architectures, originally introduced in natural language processing, have pervaded ...
Abdulaziz Amer Aleissaee   +6 more
semanticscholar   +1 more source

Correction: Behling, R., et al. Automated Spatiotemporal Landslide Mapping over Large Areas Using RapidEye Time Series Data. Remote Sens. 2014, 6, 8026-8055

open access: yesRemote Sensing, 2015
Due to a technical error at the Editorial Office, Figure 7 of manuscript [1] was missing in the published paper. The correct version is reproduced below. We apologize for any inconvenience caused to authors or readers of Remote Sensing.[...]
Remote Sensing Editorial Office
doaj   +1 more source

Remote sensing in forestry: current challenges, considerations and directions

open access: yesForestry: An International Journal of Forest Research, 2023
Remote sensing has developed into an omnipresent technology in the scientific field of forestry and is also increasingly used in an operational fashion.
F. Fassnacht   +3 more
semanticscholar   +1 more source

EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution [PDF]

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2023
Recently, convolutional networks have achieved remarkable development in remote sensing image (RSI) super-resolution (SR) by minimizing the regression objectives, e.g., MSE loss.
Yi Xiao   +5 more
semanticscholar   +1 more source

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

Evaluation of the Threshold for an Improved Surface Water Extraction Index Using Optical Remote Sensing Data

open access: yesThe Scientific World Journal, 2022
In this study, we proposed an automatic water extraction index (AWEI) threshold improvement model that can be used to detect lake surface water based on optical remote sensing data.
Fajar Yulianto   +6 more
doaj   +1 more source

Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
Remote sensing and automatic earth monitoring are key to solve global-scale challenges such as disaster prevention, land use monitoring, or tackling climate change.
Oscar Mañas   +4 more
semanticscholar   +1 more source

RECENT RESULTS FROM EO STUDIES ON INDIAN CARBON CYCLE ASSESSMENT [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
The monsoon based climate system, diverse land use and land cover distribution and cultural practices poses complex issues in monitoring, assessment and simulation of Indian carbon cycle.
V. K. Dadhwal   +13 more
doaj   +1 more source

Correction: Yu, Q., et al. Narrowband Bio-Indicator Monitoring of Temperate Forest Carbon Fluxes in Northeastern China. Remote Sens. 2014, 6, 8986-9013

open access: yesRemote Sensing, 2015
Due to a technical error at the Editorial Office, Figure 8 of manuscript [1] is missing in the published paper. The correct version of the figure is reproduced below. We apologize for any inconvenience caused to authors or readers of Remote Sensing.[...]
Remote Sensing Editorial Office
doaj   +1 more source

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