A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects
University of Tehran · University of Twente
Abstract
Numerous remote sensing (RS) systems currently collect data about Earth and its environments. However, each system provides limited data in terms of spatial resolution, spectral information, and other parameters. Given technological constraints, combining data from diverse sources can effectively enhance RS solutions through data enrichment. Many studies have investigated the fusion of RS data acquired through different sensors and platforms. This paper provides a comprehensive review of research on multi-platform and -sensor RS data fusion, encompassing visible-light images, multi/hyper-spectral images, RADAR images, LiDAR point clouds, thermal images, spectrometry samples, and geophysical data. An analysis…
Citation impact
- FWCI
- 25.58
- Percentile
- 100%
- References
- 418
Authors
3Topics & keywords
- Current (fluid)
- Sensor fusion
- Remote sensing
- Computer science
- Fusion
- Data mining
- Environmental science
- Systems engineering