Hyperspectral remote sensing in lithological map**, mineral exploration, and environmental geology: an updated review
S Peyghambari, Y Zhang - Journal of Applied Remote Sensing, 2021 - spiedigitallibrary.org
Hyperspectral imaging has been used in a variety of geological applications since its advent
in the 1970s. In the last few decades, different techniques have been developed by …
in the 1970s. In the last few decades, different techniques have been developed by …
A comprehensive review of binary neural network
Deep learning (DL) has recently changed the development of intelligent systems and is
widely adopted in many real-life applications. Despite their various benefits and potentials …
widely adopted in many real-life applications. Despite their various benefits and potentials …
Computer vision applications in offsite construction
The field of computer vision has undergone rapid growth in recent years, yet the use of
computer vision in offsite construction remains an under-researched area of study. Given the …
computer vision in offsite construction remains an under-researched area of study. Given the …
Survey on the analysis of user interactions and visualization provenance
There is fast‐growing literature on provenance‐related research, covering aspects such as
its theoretical framework, use cases, and techniques for capturing, visualizing, and …
its theoretical framework, use cases, and techniques for capturing, visualizing, and …
Monitoring and map** vegetation cover changes in arid and semi-arid areas using remote sensing technology: a review
Vegetation cover change is one of the key indicators used for monitoring environmental
quality. It can accurately reflect changes in hydrology, climate, and human activities …
quality. It can accurately reflect changes in hydrology, climate, and human activities …
A review of the medical hyperspectral imaging systems and unmixing algorithms' in biological tissues
Hyperspectral fluorescence imaging (HFI) is a well-known technique in the medical research
field and is considered a non-invasive tool for tissue diagnosis. This review article gives a …
field and is considered a non-invasive tool for tissue diagnosis. This review article gives a …
Long-tailed visual recognition with deep models: A methodological survey and evaluation
In the real world, large-scale datasets for visual recognition typically exhibit a long-tailed
distribution, where only a few classes contain adequate samples but the others have (much) …
distribution, where only a few classes contain adequate samples but the others have (much) …
Transfer learning-based state of charge and state of health estimation for Li-ion batteries: A review
State of charge (SOC) and state of health (SOH) estimation play a vital role in battery
management systems (BMSs). Accurate and robust state estimation can prevent Li-ion …
management systems (BMSs). Accurate and robust state estimation can prevent Li-ion …
3D texture feature extraction and classification using GLCM and LBP-based descriptors
Lately, 3D imaging techniques have achieved a lot of progress due to recent developments
in 3D sensor technologies. This leads to a great interest regarding 3D image feature …
in 3D sensor technologies. This leads to a great interest regarding 3D image feature …
[PDF][PDF] An integrated interactive technique for image segmentation using stack based seeded region growing and thresholding.
Image segmentation is a challenging process in numerous applications. Region growing is
one of the segmentation techniques as a basis for the Seeded Region Growing method. A …
one of the segmentation techniques as a basis for the Seeded Region Growing method. A …