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Detection and Classification of Floating and Submerged Polluted Targets at Turbid Water Using Remote Sensing Hyperspectral Imaging
Hyperspectral imaging (HI) is gaining prominence for its rapid and precise remote sensing in aquatic environments to identify and categorize a number...
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Hyperspectral remote sensing identification of marine oil emulsions based on the fusion of spatial and spectral features
Marine oil spill emulsions are difficult to recover, and the damage to the environment is not easy to eliminate. The use of remote sensing to...
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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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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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Enhancing remote target classification in hyperspectral imaging using graph attention neural network
AbstractThe method of target classification known as hyperspectral imaging (HSI) is commonly used in the field of remote sensing. However, recent...
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A novel hyperspectral remote sensing tool for detecting and analyzing human materials in the environment: a geoenvironmental approach to aid in emergency response
Geology is the backdrop against which environmental disasters, emergencies and conflict occur. A search and discovery tool is developed to aid in...
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Integration of multispectral and hyperspectral remote sensing data for lithological map** in Zhob Ophiolite, Western Pakistan
This work integrates processed satellite-based remote sensing products and the laboratory data for the geological studies of the Naweoba block of...
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Assessment of Coastal Water Quality Parameters Along Mangaluru Region from AVIRIS-NG Hyperspectral Remote Sensing Data
Under the ISRO-NASA joint program, airborne hyperspectral campaign and simultaneous in situ data collection were conducted along the Mangaluru...
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Review of airborne oceanic lidar remote sensing
Airborne oceanic lidars act as an active remote sensing technique have been proved to be one of the most effective and reliable means of oceanic...
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Hyperspectral remote sensing image watermarking using discrete wavelet transform and forensic based investigation archimedes optimization
Rapid advancement in satellite communication over the last decade have resulted in the widespread use of remote sensing images. Additionally, as...
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Advancements in drought using remote sensing: assessing progress, overcoming challenges, and exploring future opportunities
The use of remote sensing for monitoring and managing droughts is examined in this review study. Drought has a significant impact on how water...
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Assessment and detection of biotic and abiotic stresses in field crops through remote and proximal sensing techniques—evidence from earlier findings
Environmental fluctuations have a strong influence on soil, plant, water, air, and flora and fauna, and have a strongassociation and interaction with...
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A service-oriented framework for remote sensing big data processing
In recent years, one of the biggest concerns of researchers has been environmental knowledge. This concern can be resolved by collecting and...
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The study of mineral distribution using hyperspectral Hyperion data along the shores of Lake Salda/Türkiye
Lake Salda is considered the most similar region on Earth to search for evidence of life on Mars, and its shoreline is home to microbialites...
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A Novel Depth-Wise Separable Convolutional Model for Remote Sensing Scene Classification
With the advancement in satellite and Artificial Intelligence (AI), the increase in observation of the earth is increasing dramatically. With this...
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A Grad-CAM and capsule network hybrid method for remote sensing image scene classification
Remote sensing image scene classification and remote sensing technology applications are hot research topics. Although CNN-based models have reached...
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Study on Hyperspectral Remote Sensing Based Rapid Determination of Coal Quality Parameters
In this research work, reflectance spectroscopy of Jharia and Raniganj coal samples across the Vis–NIR–SWIR range (wavelength: 350–2500 nm) were...
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Remote Sensing Inversion for Simulation of Soil Salinization Based on Hyperspectral Data and Ground Analysis in Yinchuan, China
The **luo area, as an experimental study area in Yinchuan, has been subjected to major environmental degradation due to soil salinization problems....
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