Results 1 to 10 of about 129,743 (159)

Spatial Resolution Enhancement Framework Using Convolutional Attention-Based Token Mixer. [PDF]

open access: yesSensors (Basel)
Spatial resolution enhancement in remote sensing data aims to augment the level of detail and accuracy in images captured by satellite sensors. We proposed a novel spatial resolution enhancement framework using the convolutional attention-based token ...
Peng M, Li C, Li G, Zhou X.
europepmc   +4 more sources

Resolution Enhancement of Spatial Parametric Methods via Regularization [PDF]

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The spatial spectral estimation problem has applications in a variety of fields, including radar, telecommunications, and biomedical engineering. Among the different approaches for estimating the spatial spectral pattern, there are several parametric ...
Gustavo Martin-del-Campo-Becerra   +4 more
doaj   +2 more sources

CCD Pixel Miniaturization Technologies for Spatial Resolution Enhancement. [PDF]

open access: yesSensors (Basel)
Charge-coupled device (CCD) image sensors stand out for their high sensitivity, low noise, and strong radiation tolerance, which have established them as core components in high-end imaging fields such as astronomical observation, remote sensing, and ...
Liu Z, Lyu X, Liu Z, Xu H.
europepmc   +2 more sources

Analysis of the Effect of Enhanced FOV and Sampling Strategy on the Spatial Resolution Enhancement of Spaceborne Microwave Radiometer

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Higher spatial resolution can improve the application ability of spaceborne microwave radiometer data. To investigate the capability to enhance the spatial resolution of the radiometer measurements, we analyzed the effect of enhanced field of view (FOV ...
Zhenzhan Wang, Wenming He, Zhou Zhang
exaly   +3 more sources

Joint Spatial-spectral Resolution Enhancement of Multispectral Images with Spectral Matrix Factorization and Spatial Sparsity Constraints

open access: yesRemote Sensing, 2020
This paper presents a joint spatial-spectral resolution enhancement technique to improve the resolution of multispectral images in the spatial and spectral domain simultaneously. Reconstructed hyperspectral images (HSIs) from an input multispectral image
Seong G Kong   +2 more
exaly   +3 more sources

Spatial Resolution and Data Integrity Enhancement of Microwave Radiometer Measurements Using Total Variation Deconvolution and Bilateral Fusion Technique

open access: yesRemote Sensing, 2022
Passive multi-frequency microwave sensors are indispensable instruments for worldwide environmental monitoring. However, they often suffer from the issues of poor spatial resolution and the original land–sea transition zone data are contaminated severely.
Leo Ligthart, Weidong Hu
exaly   +3 more sources

Spatial resolution enhancement of SSM/I data

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 1998
One of the limitations in using Special Sensor Microwave/Imager (SSM/I) data for land and vegetation studies is the relatively low-spatial resolution. To ameliorate this limitation, resolution-enhancement algorithms can be applied to the data. In this paper, the Backus-Gilbert inversion (BGI) technique and the scatterometer image-reconstruction (SIR ...
D G Long
exaly   +3 more sources

Enhancement of Spatial Resolution Using a Metamaterial Sensor in Nondestructive Evaluation [PDF]

open access: yesApplied Sciences, 2015
The current stage of non-destructive evaluation techniques imposes the development of new electromagnetic methods that are based on high spatial resolution and increased sensitivity.
Adriana Savin   +4 more
doaj   +5 more sources

Spatial Resolution Enhancement of Microwave Radiation Imager (MWRI) Data

open access: yesRemote Sensing
A spaceborne microwave radiometer has a low spatial resolution limited by its antenna size. Enhancing the spatial resolution of data acquired by such sensors can improve the quality of subsequent applications.
Zhaojun Zheng   +2 more
exaly   +3 more sources

Resolution Enhancement of Remotely Sensed Land Surface Temperature: Current Status and Perspectives

open access: yesRemote Sensing, 2021
Remotely sensed land surface temperature (LST) distribution has played a valuable role in land surface processes studies from local to global scales. However, it is still difficult to acquire concurrently high spatiotemporal resolution LST data due to ...
Qi Mao, Jian Peng, Yanglin Wang
doaj   +1 more source

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