Results 51 to 60 of about 90,380 (319)

A double transformer residual super-resolution network for cross-resolution person re-identification

open access: yesEgyptian Journal of Remote Sensing and Space Sciences, 2023
Cross-resolution person re-identification is a challenging problem in the field of person re-identification. In order to solve the problem of resolution mismatch, many studies introduce super-resolution into person re-identification tasks.
Fuzhen Zhu, Ce Sun, Chen Wang, Bing Zhu
doaj   +1 more source

A Multi-Level Attention Model for Remote Sensing Image Captions

open access: yes, 2020
The task of image captioning involves the generation of a sentence that can describe an image appropriately, which is the intersection of computer vision and natural language.
Ronghua Shang   +4 more
core   +1 more source

Computational ghost imaging for remote sensing [PDF]

open access: yesJournal of the Optical Society of America A, 2012
Computational ghost imaging is a structured-illumination active imager coupled with a single-pixel detector that has potential applications in remote sensing. Here we report on an architecture that acquires the two-dimensional spatial Fourier transform of the target object (which can be inverted to obtain a conventional image).
openaire   +2 more sources

COMBINATION OF VIRTUAL TOURS, 3D MODEL AND DIGITAL DATA IN A 3D ARCHAEOLOGICAL KNOWLEDGE AND INFORMATION SYSTEM [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
The site of the Engelbourg ruined castle in Thann, Alsace, France, has been for some years the object of all the attention of the city, which is the owner, and also of partners like historians and archaeologists who are in charge of its study.
M. Koehl, N. Brigand
doaj   +1 more source

Do Game Data Generalize Well for Remote Sensing Image Segmentation?

open access: yes, 2020
Despite the recent progress in deep learning and remote sensing image interpretation, the adaption of a deep learning model between different sources of remote sensing data still remains a challenge.
Zhengxia Zou   +4 more
core   +1 more source

FROM POINT CLOUD TO 3D MODEL, MODELLING METHODS BASED ON ARCHITECTURAL KNOWLEDGE APPLIED TO FORTRESS OF CHÂTEL-SUR-MOSELLE (FRANCE) [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
3D survey techniques applied to buildings such as photogrammetry and laser scanning produces a volume of data very important. Upon acquisition, the issue of data management greatly influences the acquisition parameters and production data. Contemporary
E. Alby, P. Grussenmeyer
doaj   +1 more source

Super-resolution domain adaptation networks for semantic segmentation via pixel and output level aligning

open access: yesFrontiers in Earth Science, 2022
Recently, unsupervised domain adaptation (UDA) has attracted increasing attention to address the domain shift problem in the semantic segmentation task.
Junfeng Wu   +7 more
doaj   +1 more source

IESRGAN: Enhanced U-Net Structured Generative Adversarial Network for Remote Sensing Image Super-Resolution Reconstruction

open access: yes, 2023
With the continuous development of modern remote sensing satellite technology, high-resolution (HR) remote sensing image data have gradually become widely used.
Linghong Meng   +5 more
core   +1 more source

Mapping Lower Saxony’s salt marshes using temporal metrics of multi-sensor satellite data

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2022
Salt marshes act as an important natural buffer in terms of coastal protection in the light of the rising sea level. Due to weather events like extreme storms the extent of salt marshes changes. Hence, it is of great importance to regularly monitor these
Kim-Jana Stückemann, Björn Waske
doaj   +1 more source

Novel folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing

open access: yes, 2014
As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral ...
Han, Junwei   +6 more
core   +1 more source

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