A remote sensing software is a software application that processes remote sensing data. Remote sensing applications are similar to graphics software, but they enable generating geographic information from satellite and airborne sensor data. Remote sensing applications read specialized file formats that contain sensor image data, georeferencing information, and sensor metadata. Some of the more popular remote sensing file formats include: GeoTIFF, , JPEG 2000, , MrSID, HDF, and NetCDF.
Remote sensing applications perform many features including:
Change Detection — Determining the changes from images taken at different times of the same area
Orthorectification — Warping an image to its location on the earth
Spectral Analysis — For example, using non-visible parts of the electromagnetic spectrum to determine whether a forest is healthy
Image Classification — Categorizing pixels based upon reflectance into different land cover classes (e.g. Supervised classification, Unsupervised classification and Object Oriented classification)
Many remote sensing applications are built using common remote sensing toolkits.
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
This course covers optical remote sensing from satellites and airborne platforms. The different systems are presented. The students will acquire skills in image processing and machine/deep learning to
A hands-on approach on how sensing works is complemented with theoretical insights to reflect on the critical zones opened up for urban research by the expansion of coded environments, providing the s
Delves into the rugged beauty and strange emptiness of the Australian outback.
Introduces the history and applications of nonlinear optics, focusing on the Optical Kerr Effect and various nonlinear parametric processes.
Explores the role of satellite data in air pollution studies, covering topics like aerosol optical depth, satellite measurement techniques, and fire data analysis.
Multispectral imaging captures image data within specific wavelength ranges across the electromagnetic spectrum. The wavelengths may be separated by filters or detected with the use of instruments that are sensitive to particular wavelengths, including light from frequencies beyond the visible light range, i.e. infrared and ultra-violet. It can allow extraction of additional information the human eye fails to capture with its visible receptors for red, green and blue.
Sensing and imaging of light in the shortwave infrared (SWIR) range is increasingly used in various fields, including bio-imaging, remote sensing, and semiconductor process control. SWIR-sensitive organic photodetectors (OPDs) are promising because organic ...
Earth scientists study a variety of problems with remote sensing data, but they most often consider them in isolation from each other, which limits information flows across disciplines. In this work, we present METEOR, a meta-learning methodology for Earth ...
London2024
Soft actuators with a function of variable stiffness are beneficial to the improvement of the adaptability of robots, expanding the application areas and environments. We propose a tendon-driven soft bending actuator that can change its stiffness using fib ...