Multi-focus image fusion: A survey of the state of the art
Multi-focus image fusion is an effective technique to extend the depth-of-field of optical
lenses by creating an all-in-focus image from a set of partially focused images of the same …
lenses by creating an all-in-focus image from a set of partially focused images of the same …
From conventional approach to machine learning and deep learning approach: an experimental and comprehensive review of image fusion techniques
G Choudhary, D Sethi - Archives of Computational Methods in …, 2023 - Springer
Images captured from a single or multiple imaging sensors with considerable focus or
numerous exposures of the same or different modalities do not provide all relevant …
numerous exposures of the same or different modalities do not provide all relevant …
Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China
The preparation of a landslide susceptibility map is considered to be the first step for
landslide hazard mitigation and risk assessment. However, these maps are accepted as end …
landslide hazard mitigation and risk assessment. However, these maps are accepted as end …
CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests
L Ma, S Fan - BMC bioinformatics, 2017 - Springer
Background The random forests algorithm is a type of classifier with prominent universality,
a wide application range, and robustness for avoiding overfitting. But there are still some …
a wide application range, and robustness for avoiding overfitting. But there are still some …
SEDRFuse: A symmetric encoder–decoder with residual block network for infrared and visible image fusion
Image fusion is an important task for computer vision as a diverse range of applications are
benefiting from the fusion operation. The existing image fusion methods are largely …
benefiting from the fusion operation. The existing image fusion methods are largely …
Mapping landslide susceptibility at the Three Gorges Reservoir, China, using gradient boosting decision tree, random forest and information value models
T Chen, L Zhu, R Niu, CJ Trinder, L Peng… - Journal of Mountain …, 2020 - Springer
This work was to generate landslide susceptibility maps for the Three Gorges Reservoir
(TGR) area, China by using different machine learning models. Three advanced machine …
(TGR) area, China by using different machine learning models. Three advanced machine …
Predicting landslide susceptibility and risks using GIS-based machine learning simulations, case of upper Nyabarongo catchment
JB Nsengiyumva, R Valentino - Geomatics, Natural Hazards and …, 2020 - Taylor & Francis
Sustainable landslide mitigation requires appropriate approaches to predict susceptible
zones. This study compared the performance of Logistic Model Tree (LMT), Random Forest …
zones. This study compared the performance of Logistic Model Tree (LMT), Random Forest …
Debris-flow susceptibility assessment in China: a comparison between traditional statistical and machine learning methods
Debris flows, triggered by dual interferences extrinsically and intrinsically, have been
widespread in China. The debris-flow susceptibility (DFS) assessment is acknowledged as …
widespread in China. The debris-flow susceptibility (DFS) assessment is acknowledged as …
Landslide susceptibility assessment model construction using typical machine learning for the Three Gorges Reservoir Area in China
The Three Gorges Reservoir region in China is the Yangtze River Economic Zone's natural
treasure trove. Its natural environment has an important role in development. The unique …
treasure trove. Its natural environment has an important role in development. The unique …
GIS-based spatial prediction of landslide using road factors and random forest for Sichuan-Tibet Highway
Accurate evaluation of landslide susceptibility is very important to ensure the safe operation
of mountain highways. The Sichuan-Tibet Highway, which traverses the east of the Tibetan …
of mountain highways. The Sichuan-Tibet Highway, which traverses the east of the Tibetan …