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).

References in zbMATH (referenced in 8 articles )

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  1. Johannes N. Hansen: nd - A Framework for the Analysis of n-dimensional Earth Observation Data (2022) not zbMATH
  2. Elhassouny, Azeddine: Fusion of images by the theory of Dezert-Smarandache (DSmT) with a view to applications in teledetection (2015)
  3. Canty, Morton J.: Image analysis, classification and change detection in remote sensing. With algorithms for ENVI/IDL and Python (2014)
  4. Labitzke, Björn; Bayraktar, Serkan; Kolb, Andreas: Generic visual analysis for multi- and hyperspectral image data (2013) ioport
  5. Zhong, Yanfei; Zhang, Liangpei: Sub-pixel mapping based on artificial immune systems for remote sensing imagery (2013) ioport
  6. Rulloni, Valeria; Bustos, Oscar; Flesia, Ana Georgina: Large gap imputation in remote sensed imagery of the environment (2012)
  7. 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
  8. Tarabalka, Y.; Chanussot, J.; Benediktsson, J. A.: Segmentation and classification of hyperspectral images using watershed transformation (2010)