Grand Challenges in Remote Sensing Image Analysis and Classification
Over the past ∼20 years, the proliferation of sensors and platforms in both the public and private sectors, combined with the open data policies of NASA, ESA, and other national space agencies, have resulted in a dramatic increase in the availability of remotely sensed data and the widespread adoption of remote sensing as an essential tool for a wide range of applications. Unlike many of the specialty research topics covered by the Frontiers journals, remote sensing image analysis and classification spans a wide range of disparate research disciplines, making the identification of grand challenges fundamentally different from that in more narrowly focused disciplines. For this reason, the challenges discussed in this article will be related to topically-relevant standards intended to maximize the utility of the work published by the journal. The standards discussed are Replicability, Applicability and Interpretability.
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Also Published In
- Frontiers in Remote Sensing