Evaluation of forest fire risk in the Mediterranean Turkish forests: A case study of Menderes region, Izmir
Turkey is exposed to forest fires damaging thousands of hectares of forest every year. Earlier
studies indicate that Turkey would be one of the most affected Mediterranean countries due …
studies indicate that Turkey would be one of the most affected Mediterranean countries due …
Joint analysis and weighted synthesis sparsity priors for simultaneous denoising and destri** optical remote sensing images
Stripe and random noise are two different degradation phenomena that commonly coexist in
optical remote sensing images, and they are often modeled as inverse problems. In model …
optical remote sensing images, and they are often modeled as inverse problems. In model …
Destri** of multispectral remote sensing image using low-rank tensor decomposition
Multispectral image (MSI) destri** is a challenging topic and has been attracting much
research attention in remote sensing area due to its importance in improving the image …
research attention in remote sensing area due to its importance in improving the image …
A new transferable deep learning approach for crop map**
H Che, Y Pan, X ** provides important information for government decision-making and
agricultural management. Recent advancements in deep learning have significantly …
agricultural management. Recent advancements in deep learning have significantly …
ADOM: ADMM-based optimization model for stripe noise removal in remote sensing image
Remote sensing images (RSI) are useful for various tasks such as Earth observation and
climate change. However, RSI may suffer from stripe noise due to physical limitations in …
climate change. However, RSI may suffer from stripe noise due to physical limitations in …
Cpad: Component pixel-aware multispectral image destri**
Stripe noise removal of multispectral images (MSIs) is a challenging topic and has attracted
substantial research attention in remote sensing areas. Existing destri** methods mainly …
substantial research attention in remote sensing areas. Existing destri** methods mainly …
Flexible infrared images destri** algorithm with L1-based sparse regularization for wide-field astronomical images
A novel infrared image destri** method is proposed from a single image. The proposed
method can estimate the clean image and stripe noise image simultaneously. Firstly, we …
method can estimate the clean image and stripe noise image simultaneously. Firstly, we …
High-speed ocular artifacts removal of multichannel EEG based on improved moment matching
Objective. The excellent signal-to-noise ratio (SNR) is the premise of electroencephalogram
(EEG) research and applications. This study aims to use innovative method to swiftly remove …
(EEG) research and applications. This study aims to use innovative method to swiftly remove …
A Target-Based Non-Uniformity Self-Correction Method for Infrared Push-Broom Hyperspectral Sensors
Non-uniformity in the response of spectral image elements is an inevitable phenomenon in
hyperspectral imaging, which mainly manifests itself as the presence of band noise in the …
hyperspectral imaging, which mainly manifests itself as the presence of band noise in the …
Histogram matching-based semantic segmentation model for crop classification with Sentinel-2 satellite imagery
L Wang, Y Bai, J Wang, Z Zhou, F Qin… - GIScience & Remote …, 2023 - Taylor & Francis
Accurate and near-real-time crop map** from satellite imagery is crucial for agricultural
monitoring. However, the seasonal nature of crops makes it challenging to rely on traditional …
monitoring. However, the seasonal nature of crops makes it challenging to rely on traditional …