activity
20182024
most citedSo2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification

53 citations · 119 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2024★ 13 cited

Using Deep Ensemble Forest for High Resolution Mapping of PM2.5 from MODIS MAIAC AOD in Tehran, Iran

Hossein Bagheri

High resolution mapping of PM2.5 concentration over Tehran city is challenging because of the complicated behavior of numerous sources of pollution and the insufficient number of g…

cs.CV2023★ 15 cited

Data level and decision level fusion of satellite multi-sensor AOD retrievals for improving PM2.5 estimations, a study on Tehran

Ali Mirzaei, Hossein Bagheri, Mehran Sattari

One of the techniques for estimating the surface particle concentration with a diameter of fewer than 2.5 micrometers (PM2.5) is using aerosol optical depth (AOD) products. Differe…

eess.IV2022★ 1 cited

Segment-based fusion of multi-sensor multi-scale satellite soil moisture retrievals

Reza Attarzadeh, Hossein Bagheri, Iman Khosravi +2

Synergetic use of sensors for soil moisture retrieval is attracting considerable interest due to the different advantages of different sensors. Active, passive, and optic data inte…

cs.CV2019★ 53 cited

So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification

Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu +14

Access to labeled reference data is one of the grand challenges in supervised machine learning endeavors. This is especially true for an automated analysis of remote sensing images…

eess.IV2018★ 37 cited

Fusion of TanDEM-X and Cartosat-1 Elevation Data Supported by NeuralNetwork-Predicted Weight Maps

Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu

Recently, the bistatic SAR interferometry mission TanDEM-X provided a global terrain map with unprecedented accuracy. However, visual inspection and empirical assessment of TanDEM-…

eess.IV2018

A Framework for SAR-Optical Stereogrammetry over Urban Areas

Hossein Bagheri, Michael Schmitt, Pablo d'Angelo +1

Currently, numerous remote sensing satellites provide a huge volume of diverse earth observation data. As these data show different features regarding resolution, accuracy, coverag…

eess.IV2018

Fusion of Urban TanDEM-X raw DEMs using variational models

Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu

Recently, a new global Digital Elevation Model (DEM) with pixel spacing of 0.4 arcseconds and relative height accuracy finer than 2m for flat areas (slopes < 20%) and better than 4…