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Remote-Sensing Image Classification

Remote-Sensing Image Classification is a research topic within Media Technology. Science Explorer counts 38k research works in it since 1955. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the advances in hyperspectral image analysis, remote sensing, and classification. It covers topics such as deep learning, change detection, spectral unmixing, feature extraction, and object-based analysis for remote sensing applications.

  • Hyperspectral
  • Image Analysis
  • Remote Sensing
  • Classification
  • Deep Learning
  • Change Detection
  • Spectral Unmixing
  • Feature Extraction
  • Object-Based Analysis
  • Support Vector Machines
Research works
38k
fractional, since 1955
In the world top 10%
3.7k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+37%
the tick is no change
Largest producer
China
68% of the 10 largest, 2022-now
Remote-Sensing Image Classification

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