Satellite remote sensing of aerosol optical depth: Advances, challenges, and perspectives
Aerosol optical depth (AOD) is widely recognized as a critical indicator in understanding
atmospheric physics and regional air quality because of its capability for quantifying aerosol …
atmospheric physics and regional air quality because of its capability for quantifying aerosol …
Image processing techniques for analysis of satellite images for historical maps classification—An overview
Historical maps classification has become an important application in today's scenario of
everchanging land boundaries. Historical map changes include the change in boundaries of …
everchanging land boundaries. Historical map changes include the change in boundaries of …
Image fusion techniques: a survey
The necessity of image fusion is growing in recently in image processing applications due to
the tremendous amount of acquisition systems. Fusion of images is defined as an alignment …
the tremendous amount of acquisition systems. Fusion of images is defined as an alignment …
Remote sensing image compression and encryption based on block compressive sensing and 2D-LCCCM
S Nan, X Feng, Y Wu, H Zhang - Nonlinear dynamics, 2022 - Springer
This paper proposes a remote sensing image compression and encryption algorithm based
on block compressive sensing and multiple S-boxes that utilize a novel hyperchaotic system …
on block compressive sensing and multiple S-boxes that utilize a novel hyperchaotic system …
Energy efficient resource allocation for UAV-assisted space-air-ground internet of remote things networks
Internet of remote things (IoRT) networks are regarded as an effective approach for
providing services to smart devices, which are often remote and dispersed over in a wide …
providing services to smart devices, which are often remote and dispersed over in a wide …
CUFuse: Camera and ultrasound data fusion for rail defect detection
This paper proposes a multi-source data fusion algorithm for rail surface defect detection in
both camera-based rail inspection images and ultrasound B-scan images. First, we design a …
both camera-based rail inspection images and ultrasound B-scan images. First, we design a …
A hand-based multi-biometrics via deep hashing network and biometric graph matching
At present, the fusion of different unimodal biometrics has attracted increasing attention from
researchers, who are dedicated to the practical application of biometrics. In this paper, we …
researchers, who are dedicated to the practical application of biometrics. In this paper, we …
[BOOK][B] Multisensor data fusion and machine learning for environmental remote sensing
In the last few years the scientific community has realized that obtaining a better
understanding of interactions between natural systems and the man-made environment …
understanding of interactions between natural systems and the man-made environment …
Joint UAV access and GEO satellite backhaul in IoRT networks: Performance analysis and optimization
With the growing demand for communications in remote and dispersed areas, Internet-of-
Remote Things (IoRT) networks with joint unmanned aerial vehicle (UAV) access and …
Remote Things (IoRT) networks with joint unmanned aerial vehicle (UAV) access and …
Integrating multisensor satellite data merging and image reconstruction in support of machine learning for better water quality management
Monitoring water quality changes in lakes, reservoirs, estuaries, and coastal waters is critical
in response to the needs for sustainable development. This study develops a remote …
in response to the needs for sustainable development. This study develops a remote …