Journal ArticleDOI
Pixel level fusion techniques for SAR and optical images: A review
TLDR
It is concluded that there is scope for further research of fusion of SAR and optical images due to various microwave and optical sensors with the improved resolution being launched regularly.About:
This article is published in Information Fusion.The article was published on 2020-07-01. It has received 121 citations till now. The article focuses on the topics: Image fusion & Synthetic aperture radar.read more
Citations
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Journal ArticleDOI
A novel deep learning instance segmentation model for automated marine oil spill detection
TL;DR: The study concluded that the deep learning instance segmentation model performs better than conventional machine learning models and deep learning semantic segmentation models in detection and segmentation.
Journal ArticleDOI
Remote sensing of temperate and boreal forest phenology: A review of progress, challenges and opportunities in the intercomparison of in-situ and satellite phenological metrics
TL;DR: In this paper, a review of remote sensing of vegetation phenology is presented, focusing on how the latest ground, near-surface and aerial data have been used to assess the satellite-derived Land Surface Phenology (LSP) metrics and the agreements that has been achieved in the last 15 years.
Journal ArticleDOI
Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review
TL;DR: In this paper , a literature survey is conducted to analyze the trends of multimodal remote sensing data fusion, and some prevalent sub-fields in multi-modal RS data fusion are reviewed in terms of the to-be-fused data modalities.
Journal ArticleDOI
Universal SAR and optical image registration via a novel SIFT framework based on nonlinear diffusion and a polar spatial-frequency descriptor
TL;DR: An improved nonlinear scale-invariant feature transform (SIFT)-framework-based algorithm that combines spatial feature detection with local frequency-domain description for the registration of SAR and optical images is proposed and can achieve better results than other state-of-the-art methods in terms of registration accuracy.
Journal ArticleDOI
IHS-GTF: A Fusion Method for Optical and Synthetic Aperture Radar Data
TL;DR: A fusion algorithm named IHS-GTF for optical and SAR images is proposed, which combines the advantages of IHS and GTF and considers the spatial details from the both images based on pixel saliency.
References
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Journal ArticleDOI
A universal image quality index
Zhou Wang,Alan C. Bovik +1 more
TL;DR: Although the new index is mathematically defined and no human visual system model is explicitly employed, experiments on various image distortion types indicate that it performs significantly better than the widely used distortion metric mean squared error.
Journal ArticleDOI
Multisensor image fusion in remote sensing: Concepts, methods and applications
Christine Pohl,J.L. van Genderen +1 more
TL;DR: This review paper describes and explains mainly pixel based image fusion of Earth observation satellite data as a contribution to multisensor integration oriented data processing.
Journal ArticleDOI
A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise
TL;DR: A model for the radar imaging process is derived and a method for smoothing noisy radar images is presented and it is shown that the filter can be easily implemented in the spatial domain and is computationally efficient.
Book
Understanding Synthetic Aperture Radar Images
TL;DR: In this paper, the principles of SAR image image formation are discussed and an analysis technique for multi-dimensional image analysis is presented based on RCS Reconstruction Filters and Texture Exploitation.
Journal ArticleDOI
Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art
Liangpei Zhang,Lefei Zhang,Bo Du +2 more
TL;DR: A general framework of DL for RS data is provided, and the state-of-the-art DL methods in RS are regarded as special cases of input-output data combined with various deep networks and tuning tricks.
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Multisensor image fusion in remote sensing: Concepts, methods and applications
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