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CNN Multibeam Seabed Sediment Classification Combined with a Novel Feature Optimization Method
The classification of seabed sediments is an essential aspect of marine spatial planning and management. Multibeam echo sounders (MBESs) have been...
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Spatiotemporal subsidence feature decomposition and hotspot identification
Subsidence occurs from excessive groundwater drawdown, but varies in response to underlying hydrogeologic conditions, land use factors, and...
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Robust watermarking algorithm based on mahalanobis distance and ISS feature point for 3D point cloud data
With the swift progression of three-dimensional (3D) modeling and multimedia technology, the unauthorized duplication and manipulation of 3D point...
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Comparison of debris flow susceptibility assessment methods: support vector machine, particle swarm optimization, and feature selection techniques
The selection of important factors in machine learning-based susceptibility assessments is crucial to obtain reliable susceptibility results. In this...
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Landslide Susceptibility Prediction based on Decision Tree and Feature Selection Methods
Landslide hazards give rise to considerable demolition and losses to lives in hilly areas. To reduce the destruction in these endangered regions,...
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Pansharpening Using IHS Method on Multi-sensor Data and Multiple Feature Extraction Using Modified Otsu Thresholding
The multispectral image combines monochrome and multiple bands from a sensor capturing the same area, with lower spectral resolution than the...
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Natural disaster damage analysis using lightweight spatial feature aggregated deep learning model
Natural disasters have an economic impact, affecting buildings and infrastructures. These impacts need to be evaluated for easier mitigation...
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Parallel desires: unifying local and semantic feature representations in marine species images for classification
Accurate identification of marine species is essential for ecological monitoring, habitat assessment, biodiversity conservation, and sustainable...
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Hyperspectral remote sensing identification of marine oil spills and emulsions using feature bands and double-branch dual-attention mechanism network
The accurate identification of marine oil spills and their emulsions is of great significance for emergency response to oil spill pollution. The...
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Quick and automatic detection of co-seismic landslides with multi-feature deep learning model
Co-seismic landslide detection is essential for post-disaster rescue and risk assessment after an earthquake event. However, a variety of ground...
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Estimation of solar radiation in data-scarce subtropical region using ensemble learning models based on a novel CART-based feature selection
Solar radiation estimation is essential with increasing energy demands for industrial and agricultural purposes to create a cleaner environment,...
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Ulva Prolifera subpixel map** with multiple-feature decision fusion
The unavoidable nature of Ulva prolifera mixed pixel in low-resolution remote sensing images would result in rough boundary of U. prolifera patches,...
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Machine Learning-Based Rainfall Forecasting with Multiple Non-Linear Feature Selection Algorithms
The present research examined the potential of two important feature selection methods, Bayesian Networks (BN) and Recursive Feature Elimination...
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Selecting essential factors for predicting reference crop evapotranspiration through tree-based machine learning and Bayesian optimization
Reference crop evapotranspiration (ET O ) is a basic component of the hydrological cycle and its estimation is critical for agricultural water resource...
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PKNNet: a novel feature learning architecture for vegetation map** using remote sensing hyperspectral image classification
Feature learning of remote sensing Hyperspectral Image (HSI) using deep learning (DL) models and classification of these features using machine...
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A new Monte Carlo Feature Selection (MCFS) algorithm-based weighting scheme for multi-model ensemble of precipitation
Changes in patterns of meteorological parameters, like precipitations, temperature, wind, etc., are causing significant increases in various extreme...
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Adaptive feature selection for hyperspectral image classification based on Improved Unsupervised Mayfly optimization Algorithm
Hyperspectral imaging has appeared as a vital tool in remote sensing science for its efficacy in effectively delineating regions of interest....
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Water agricultural management based on hydrology using machine learning techniques for feature extraction and classification
For irrigation in agriculture, water is a natural resource. Recycling water use is vital for the sustainable development of ecological environment...
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Multipath feature fusion for hyperspectral image classification based on hybrid 3D/2D CNN and squeeze-excitation network
Hyperspectral Images (HSI) are commonly used for classification thanks to their rich spectral feature information along with their spatial feature...
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Prediction of evapotranspiration and soil moisture in different rice growth stages through improved salp swarm based feature optimization and ensembled machine learning algorithm
Rice cultivation demands adequate soil water balance in each growth stage and estimation of evapotranspiration and soil moisture are the most...
