[HTML][HTML] Artificial intelligence for trusted autonomous satellite operations
Abstract Recent advances in Artificial Intelligence (AI) and Cyber-Physical Systems (CPS)
for aerospace applications have brought about new opportunities for the fast-growing …
for aerospace applications have brought about new opportunities for the fast-growing …
ETR: Enhancing transformation reduction for reducing dimensionality and classification complexity in hyperspectral images
ALA Dalal, Z Cai, MAA Al-qaness, EA Alawamy… - Expert Systems with …, 2023 - Elsevier
Recent improvements in remote sensing techniques (RST) allow for collecting hyperspectral
images (HSIs) with enhanced spatial and spectral resolution. These enhancements boost …
images (HSIs) with enhanced spatial and spectral resolution. These enhancements boost …
Fault diagnosis of a planetary gearbox based on a local bi-spectrum and a convolutional neural network
J Lingli, L Shuhui, L Xuejun, L Jiale… - … Science and Technology, 2022 - iopscience.iop.org
The transmission paths of vibration signals in the planetary gearboxes are complex. The
signals have the characteristics of strong background noise, instability and non-Gaussian. Bi …
signals have the characteristics of strong background noise, instability and non-Gaussian. Bi …
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 …
Low complexity block tree coding for hyperspectral image sensors
S Bajpai - Multimedia Tools and Applications, 2022 - Springer
Complexity of any onboard hyperspectral image sensor is a challenging issue. The existing
hyperspectral image compression algorithm plays a great role in reducing the data …
hyperspectral image compression algorithm plays a great role in reducing the data …
Hyperspectral image compression via cross-channel contrastive learning
Y Guo, Y Chong, S Pan - IEEE Transactions on Geoscience …, 2023 - ieeexplore.ieee.org
In recent years, advances in deep learning have greatly promoted the development of
hyperspectral image (HSI) compression algorithms. However, most existing compression …
hyperspectral image (HSI) compression algorithms. However, most existing compression …
An improved medical image compression method based on wavelet difference reduction
MCH Zerva, V Christou, N Giannakeas… - IEEE …, 2023 - ieeexplore.ieee.org
Advanced microscopic techniques such as high-throughput, high-content, multispectral, and
3D imaging could include many images per experiment requiring hundreds of gigabytes …
3D imaging could include many images per experiment requiring hundreds of gigabytes …
[HTML][HTML] Lossless and Near-Lossless Compression Algorithms for Remotely Sensed Hyperspectral Images
A Altamimi, B Ben Youssef - Entropy, 2024 - mdpi.com
Rapid and continuous advancements in remote sensing technology have resulted in finer
resolutions and higher acquisition rates of hyperspectral images (HSIs). These …
resolutions and higher acquisition rates of hyperspectral images (HSIs). These …
Curvelet transform based compression algorithm for low resource hyperspectral image sensors
The wavelet transform is widely used in the task of hyperspectral image compression
(HSIC). They have achieved outstanding performance in the compression of a hyperspectral …
(HSIC). They have achieved outstanding performance in the compression of a hyperspectral …