The Environment for Visualizing Images (ENVI) is a state-of-the-art image processing system designed from the ground up to provide turn-key panchromatic, multispectral, and hyperspectral analysis of satellite and aircraft remote sensing data as well as end-to-end Radar (SAR) processing. ENVI provides an extremely powerful, innovative, and user-friendly environment to display and analyze images of any size and data type. A full suite of common image processing functions are accessed using an interactive point-and-click graphical user interface (GUI).
Keywords for this software
References in zbMATH (referenced in 8 articles )
Showing results 1 to 8 of 8.
- Johannes N. Hansen: nd - A Framework for the Analysis of n-dimensional Earth Observation Data (2022) not zbMATH
- Elhassouny, Azeddine: Fusion of images by the theory of Dezert-Smarandache (DSmT) with a view to applications in teledetection (2015)
- Canty, Morton J.: Image analysis, classification and change detection in remote sensing. With algorithms for ENVI/IDL and Python (2014)
- Labitzke, Björn; Bayraktar, Serkan; Kolb, Andreas: Generic visual analysis for multi- and hyperspectral image data (2013) ioport
- Zhong, Yanfei; Zhang, Liangpei: Sub-pixel mapping based on artificial immune systems for remote sensing imagery (2013) ioport
- Rulloni, Valeria; Bustos, Oscar; Flesia, Ana Georgina: Large gap imputation in remote sensed imagery of the environment (2012)
- Plaza, Antonio; Plaza, Javier; Vegas, Hugo: Improving the performance of hyperspectral image and signal processing algorithms using parallel, distributed and specialized hardware-based systems (2010) ioport
- Tarabalka, Y.; Chanussot, J.; Benediktsson, J. A.: Segmentation and classification of hyperspectral images using watershed transformation (2010)