On-device research index

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.

169,291 papers · 148 categories

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7 results for “Landsat”

Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learningstat.ML

CNN models predict local economic livelihoods from free satellite imagery.

problem Lack of detailed economic data in developing countries.

method Trained CNN models on free Landsat 7 satellite imagery.

result Achieved accuracies exceeding previous benchmarks.

poverty prediction satellite imagery machine learning developing countries economic livelihoods

2017-11-10abs ↗pdf ↗

Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learningcs.CY

Deep learning predicts infrastructure quality in Africa using satellite imagery.

problem Expensive and limited monitoring of infrastructure quality in developing regions.

method Convolutional neural network trained on Landsat 8 and Sentinel 1 satellite imagery.

result AUROC scores of 0.881 for Electricity, 0.862 for Sewerage, 0.739 for Piped Water, and 0.786 for Roads.

infrastructure quality remote sensing satellite imagery deep learning AUROC

2018-06-03abs ↗pdf ↗

Joint Gaussian Processes for Biophysical Parameter Retrievalstat.ML

Joint Gaussian Processes combine real and simulated data for better biophysical parameter retrieval.

problem Inverting radiative transfer models for accurate biophysical parameter estimation.

method Joint Gaussian Process (JGP) that combines real and simulated data for regression.

result JGP outperforms traditional methods in leaf area index retrieval from Landsat data.

Joint Gaussian Process Radiative Transfer Biophysical Parameter Inverse Problem Landsat

2017-11-14abs ↗pdf ↗

Multi-Year Vector Dynamic Time Warping Based Crop Mappingcs.LG

VDTW improves cross-year crop mapping accuracy.

problem Cross-year crop mapping accuracy is poor with existing methods.

method Vector Dynamic Time Warping (VDTW) for multi-year classification.

result VDTW achieves 99.85% and 99.74% overall accuracies for same and cross years, respectively.

crop mapping multi-year VDTW dynamic time warping angular distances

2019-09-11abs ↗pdf ↗

Translating multispectral imagery to nighttime imagery via conditional generative adversarial networkscs.CV

Study uses cGAN to translate multispectral to nighttime satellite imagery.

problem Limited understanding of nighttime satellite imagery composition.

method Adopted and modified pix2pix cGAN framework for multispectral-to-nighttime translation.

result Proves feasibility of multispectral-to-nighttime translation.

nighttime imagery multispectral GAN satellite remote sensing

2019-12-28abs ↗pdf ↗

Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-Poverty RCTsstat.ML

Paper introduces multi-scale methods to improve CATE estimation from EO data.

problem Challenges in balancing fine-grained and contextual information in EO-based causal inference.

method Multi-Scale Representation Concatenation, combining Vision Transformer and Causal Forests.

result Multi-scale approach captures effect heterogeneity better than single-scale models.

Earth Observation Causal Inference Multi-Scale Vision Transformer Causal Forests

2024-11-04abs ↗pdf ↗

Credit Card Fraud Detection in e-Commerce: An Outlier Detection Approachcs.LG

Approach detects outliers in large datasets for credit card fraud.

problem Lack of patterns and changing fraudulent patterns make fraud detection difficult.

method Ensemble of clustering methods to assign consistency scores to data points.

result Area under precision-recall curve is a better evaluation metric for outlier detection.

outlier detection credit card fraud ensemble clustering consistency score precision-recall curves

2018-11-06abs ↗pdf ↗