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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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7 results for “InSAR”

CNN-based InSAR Coherence Classificationeess.IV

CNNs improve InSAR coherence classification.

problem Improving demarcation of InSAR imagery regions based on coherence.

method Convolutional Neural Networks (CNNs) for preprocessing and classification.

result CNNs reduce misclassifications in incoherent regions and outperform established methods.

CNNs InSAR coherence classification microwaves

2020-01-20abs ↗pdf ↗

CNN-based InSAR Denoising and Coherence Metriceess.IV

CNNs improve InSAR image denoising and coherence estimation.

problem Noise in InSAR imagery corrupts ground movement estimates.

method Autoencoder CNN architectures for denoising and preprocessing.

result Proposed method outperforms four established methods.

CNNs InSAR Denoising Coherence Microwaves

2020-01-20abs ↗pdf ↗

An Unsupervised Generative Neural Approach for InSAR Phase Filtering and Coherence Estimationeess.IV

GenInSAR uses CNNs to filter InSAR phase and estimate coherence without supervision.

problem Improving accuracy in InSAR phase filtering and coherence estimation.

method Unsupervised CNN-based generative model for joint phase filtering and coherence estimation.

result GenInSAR outperforms five related methods in residue reduction and coherence estimation.

InSAR CNN Phase filtering Coherence estimation Unsupervised learning

2020-01-27abs ↗pdf ↗

Deep Learning-Accelerated 3D Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from InSARstat.ML

Deep learning speeds up pressure prediction in carbon storage reservoirs.

problem Accurately forecasting reservoir pressure in geologic carbon storage projects with sparse well data.

method Combining InSAR surface displacement data with deep learning and data assimilation techniques.

result Workflow can predict reservoir pressure with high efficiency and uncertainty quantification.

Carbon storage Deep learning Data assimilation InSAR Reservoir pressure

2022-01-21abs ↗pdf ↗

Monitoring the risk of a tailings dam collapse through spectral analysis of satellite InSAR time-series datastat.ME

Study uses satellite data to predict tailings dam collapse risk.

problem Detecting early signs of tailings dam instability.

method Spectral analysis of satellite InSAR displacement time series data.

result Algorithm detects risk milestones up to 5 months before dam collapse.

tailings dam satellite InSAR spectral analysis displacement time series early warning

2023-02-01abs ↗pdf ↗

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processingeess.IV

In multi-temporal SAR interferometry (MT-InSAR), persistent scatterer (PS) pixels are used to estimate geophysical parameters, essentially deformation. Conventionally, PS pixels are selected on the basis of the estimated noise present in the spatially uncorrelated phase component along with look-angle error in a tempor…

2019-09-04abs ↗pdf ↗

Score-based Diffusion Models in Function Spacecs.LG

This work extends diffusion models to function space for better generative modeling.

problem Limited applicability of diffusion models to functional data domains.

method Introduces Denoising Diffusion Operators (DDOs) for training diffusion models in function space.

result Demonstrates accurate function-valued generation at fixed cost.

Diffusion Models Function Space Score Matching Gaussian Processes Langevin Dynamics

2023-02-14abs ↗pdf ↗