Interdisciplinary Integration of Remote Sensing -- A Review with Four Examples
Journal:
arXiv
Published Date:
Apr 20, 2025
Abstract
As a high-level discipline, the development of remote sensing depends on the
contribution of many other basic and applied disciplines and technologies. For
example, due to the close relationship between remote sensing and
photogrammetry, remote sensing would inevitably integrate disciplines such as
optics and color science. Also, remote sensing integrates the knowledge of
electronics in the conversion from optical signals to electrical signals via
CCD (Charge-Coupled Device) or other image sensors. Moreover, when conducting
object identification and classification with remote sensing data, mathematical
morphology and other digital image processing technologies are used. These
examples are only the tip of the iceberg of interdisciplinary integration of
remote sensing. This work briefly reviews the interdisciplinary integration of
remote sensing with four examples - ecology, mathematical morphology, machine
learning, and electronics.
