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researcher

Michael Schmitt

22 papers hereh-index 365.2k citations152 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author12
  • last author3

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV14
  • eess.IV7
  • cs.LG1
same name
  • Michael Schmitt — 4 papers, h 11
  • Michael Schmitt — 4 papers, h 3
  • Michael Schmitt — 1 paper, h 10
  • Michael Schmitt — 1 paper, h 2
  • Michael Schmitt — 1 paper, h 1
  • Michael Schmitt — 1 paper, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedSEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal

170 citations · 363 across the 14 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

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…

cs.CV2019★ 5 cited

SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion

Michael Schmitt, Lloyd Haydn Hughes, Chunping Qiu +1

The availability of curated large-scale training data is a crucial factor for the development of well-generalizing deep learning methods for the extraction of geoinformation from m…

eess.IV2019★ 16 cited

Potential of nonlocally filtered pursuit monostatic TanDEM-X data for coastline detection

Michael Schmitt, Gerald Baier, Xiao Xiang Zhu

This article investigates the potential of nonlocally filtered pursuit monostatic TanDEM-X data for coastline detection in comparison to conventional TanDEM-X data, i.e. image pair…

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