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Hyperspectral Image Classification for Vegetation Detection Using Lightweight Cascaded Deep Convolutional Neural Network
Deep learning frameworks have been applied to hyperspectral image classification (HIC) problems more and more in recent years, with excellent...
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Remote sensing technique and ICONA based-GIS map** for assessing the risk of soil erosion: A case of the Rudbar Basin, Iran
Soil erosion is a major environmental concern because of its devastating effects on agriculture and food production worldwide. In our research, we...
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A Method to Identify Dacrydium pierrei Hickel Using Unmanned Aerial Vehicle Multi-source Remote Sensing Data in a Chinese Tropical Rainforest
Identifying special species in tropical forests is an important topic in forest resource management, and the use of a single type of remote sensing...
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A novel multi-class land use/land cover classification using deep kernel attention transformer for hyperspectral images
Hyperspectral imaging is a prominent land use land cover (LULC)classification technology. However, due to fewer training samples, LULC classification...
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Sparse subspace clustering incorporated deep convolutional transform learning for hyperspectral band selection
This work delves into a research area with a limited number of studies, that of convolutional filter-learning based clustering. Since clustering is...
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Remote monitoring of land degradation in the mining context: an updated review focusing on potentials and challenges
Land degradation is a global challenge with profound impacts on both people’s livelihoods and the environment. Mining activities present significant...
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Integration of remote sensing and geochemical data to characterize mineralized A-type granites, Egypt: implications for origin and concentration of rare metals
Neoproterozoic mineralized granites from the Umm Naggat and Homrit Waggat areas in the Central Eastern Desert (CED) of Egypt, are parts of the...
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Multitemporal hyperspectral satellite image analysis and classification using fast scale invariant feature transform and deep learning neural network classifier
Image classification is a frequent but still difficult subject in image processing, yet it has applications in various sectors and the medical...
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Quantitative Inversion of REEs in Ion-Adsorbed Rare Earth Ores from the Liutang Area (South China), Based on Measured Hyperspectral Data
Rare earth minerals are important strategic resources to economic development all over the world. In this study, multiple linear regression and back...
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Remote Sensing and GIS Based Techniques for Monitoring and Conserving Water on Newly Developed Farmlands
Global governments face rapid urbanization. South Asia is urbanizing at 3% per year, causing this issue. Urbanization permanently destroys...
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Deep learning based remote sensing technique for environmental parameter retrieval and data fusion from physical models
Signal and data processing has established a new standard by using deep learning (DL) and deep neural network (DNN). This is done by obtaining...
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Open-Pit Mine Extraction from Very High-Resolution Remote Sensing Images Using OM-DeepLab
Automatic extraction of open-pit mine (OM) areas from very high-resolution (VHR) remote sensing images is important for mineral resource management...
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Spatiotemporal characteristics and remote sensing estimation of colored dissolved organic matter around the Leizhou Peninsula
Colored dissolved organic matter (CDOM) is an important optically active substance in marine environment. Its biochemical conservatism makes it an...
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Hyperspectral and LiDAR data fusion in features based classification
Modern technology fusions are referred to as a significant source in remote sensing. It is one of the various sources that incorporate the use of...
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Assessment of Aboveground Biomass in a Tropical Dry Deciduous Forest Using PRISMA Data
Forests are one of the most significant and major carbon sinks. Understanding the global carbon cycle requires assessing the quantity of carbon...
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The application of EO-1 Hyperion hyperspectral data to estimate the GPP of temperate forest in Changbai Mountain, Northeast China
Flux tower is a link between ground measurements and large-scale remote sensing data. A large number of remote sensing model methods are used to...
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Reflective spectra of gasoline, diesel, and jet fuel A on sand substrates under ambient and cold conditions: Implications for detection using hyperspectral remote sensing and development of age estimation models
Fuel spills are a very common occurrence globally and the traditional methods of identification and remediation can be expensive, hazardous, and time...
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High-Resolution Remote Sensing Image Scene Classification by Merging Multilevel Features of Convolutional Neural Networks
The rapid development of remote sensing technologies has yielded a large amount of high-resolution remote sensing (HRRS) data. However, effectively...
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Extraction of land covers from remote sensing images based on a deep learning model of NDVI-RSU-Net
The acquisition of land-cover types is of great importance for land use and land planning. However, extracting accurate land-cover types using...
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Denoising Hyperspectral Patches Between Manzius U & Boguslawsky M Lunar Craters from the Ch-1 M3 & Ch-2 IIRS Data
The Chandrayaan 3 (Ch-3) mission, as of the day (23rd of August 2023), is all set to explore the moon’s surface in great detail. Scientists have...
