Handbook of the GEMS Image Processing System

Abstract

GEMS is an image processing instrument and GEMSTO NE is the 'user friendly' software system that controls GEMS. The combination of GEMS and GEMSTONE can cope with a wide variety of images. Initially, GEMSTONE was designed to deal with the data from the American spacecraft Landsat and in particular from its Multi-Spectral Scanner (MSS). Although many of the processes in the system have come from experience of handling Landsat MSS imagery they have been implemented in a very general way. Thus, whereas land sat MSS has four spectral bands (ie four co-incident images taken in different parts of the spectrum), the system can cope with 20 images, making it suitable for examining data from the Landsat Thematic Mapper (7 bands), airborne scanner systems (11 typical), and multitemporal images (up to 20), etc. Similarly, in Landsat MSS, one picture point can have an intensity in the range from black to white, or from 0 to 255. The system can cope with an intensity range of -32768 to 32767, making it suitable for the examination of data from the NOAA series of weather satellites (0 - 1023) and radar imaging systems (eg Seasat SAR, 0 - 8191), etc. Floating point numbers are also supported. The processes are thus very general in design, so that current and future spacecraft imagery of all types can be handled, together with aircraft scanner/camera data, and also pictures from a wide variety of terrestrial activities. Keywords: Remote sensing; Great Britain.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1986
Accession Number
ADA208106

Entities

People

  • K. H. Bagot

Organizations

  • Royal Aircraft Establishment

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • 4G Wireless Networks
  • Algorithms
  • Change Detection
  • Computers
  • Control Panels
  • Detection
  • Detectors
  • Digital Images
  • Filtration
  • Frequency Response
  • Host Computers
  • Image Processing
  • Lepidoptera
  • Slope
  • Synthetic Aperture Radar
  • Three Dimensional
  • Two Dimensional

Readers

  • Atmospheric Remote Sensing.
  • Computer Vision.
  • Systems Analysis and Design

Technology Areas

  • Space