Future FANET with application and enabling techniques: Anatomization and sustainability issues
A Srivastava, J Prakash - Computer science review, 2021 - Elsevier
Rapid expansion and technological advancement of Wireless communication lead by
researchers in different fields of engineering have achieved various milestones. Its efficient …
researchers in different fields of engineering have achieved various milestones. Its efficient …
[HTML][HTML] Remote sensing image fusion on 3D scenarios: A review of applications for agriculture and forestry
Abstract Three-dimensional (3D) image mapping of real-world scenarios has a great
potential to provide the user with a more accurate scene understanding. This will enable …
potential to provide the user with a more accurate scene understanding. This will enable …
[HTML][HTML] Real-time object detection based on uav remote sensing: A systematic literature review
Real-time object detection based on UAV remote sensing is widely required in different
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …
[HTML][HTML] Dry laboratories–Mapping the required instrumentation and infrastructure for online monitoring, analysis, and characterization in the mineral industry
Y Ghorbani, SE Zhang, GT Nwaila, JE Bourdeau… - Minerals …, 2023 - Elsevier
Dry laboratories (dry labs) are laboratories dedicated to using and creating data (they are
data-centric). Several aspects of the minerals industry (eg, exploration, extraction and …
data-centric). Several aspects of the minerals industry (eg, exploration, extraction and …
Morphologically dilated convolutional neural network for hyperspectral image classification
The use of hyperspectral images is expanding rapidly with the advancement of remote
sensing technologies. The precise classification of features for mapping land cover through …
sensing technologies. The precise classification of features for mapping land cover through …
Convolution neural network based lossy compression of hyperspectral images
The large size of hyperspectral imaging poses a significant threat to its potential use in real
life due to the abundant information stored in it. The use of deep learning for such data …
life due to the abundant information stored in it. The use of deep learning for such data …
[HTML][HTML] Quality control for the BPG lossy compression of three-channel remote sensing images
This paper deals with providing the desired quality in the Better Portable Graphics (BPG)-
based lossy compression of color and three-channel remote sensing (RS) images. Quality is …
based lossy compression of color and three-channel remote sensing (RS) images. Quality is …
[HTML][HTML] A systematic review of hardware-accelerated compression of remotely sensed hyperspectral images
A Altamimi, B Ben Youssef - Sensors, 2021 - mdpi.com
Hyperspectral imaging is an indispensable technology for many remote sensing
applications, yet expensive in terms of computing resources. It requires significant …
applications, yet expensive in terms of computing resources. It requires significant …
Low complexity image coding technique for hyperspectral image sensors
S Bajpai - Multimedia Tools and Applications, 2023 - Springer
Memory management and coding complexity are the major challenging issues of any
hyperspectral image sensor. The hyperspectral image compression algorithm plays a …
hyperspectral image sensor. The hyperspectral image compression algorithm plays a …
Low complexity and low memory compression algorithm for hyperspectral image sensors
S Bajpai - Wireless Personal Communications, 2023 - Springer
The 3D-zero memory set partitioned embedded block (3D-ZM-SPECK) is an embedded and
memory-efficient compression algorithm. Through, the 3D-ZM-SPECK does not require any …
memory-efficient compression algorithm. Through, the 3D-ZM-SPECK does not require any …