Digital Image Processing of Earth Observation Sensor Data

  title={Digital Image Processing of Earth Observation Sensor Data},
  author={Ralph Bernstein},
  journal={IBM J. Res. Dev.},
  • R. Bernstein
  • Published 1976
  • Environmental Science, Mathematics
  • IBM J. Res. Dev.
This paper describes digital image processing techniques that were developed to precisely correct Landsat multispectral Earth observation data and gives illustrations of the results achieved, e.g., geometric corrections with an error of less than one picture element, a relative error of one-fourth picture element, and no radiometric error effect. Techniques for enhancing the sensor data, digitally mosaicking multiple scenes, and extracting information are also illustrated. 

Digital Image Processing of Remotely Sensed Imagery

A survey of some digital image processing techniques which are useful in the analysis of remotely sensed imagery, particularly Landsat, is presented. An overview of the various steps involved in

Map-guided interpretation of remotely-sensed imagery

Aerial and satellite imagery provide an economical means of gathering large amounts of data on the earth's resources and environment, but except in the area of survey tasks that can be performed with multispectral analysis, there are few economically feasible techniques for automatically extracting the useful information from such imagery.

Remote Sensing Geometric Corrections

  • J. Moreno
  • Mathematics, Environmental Science
  • 1999
This article reviews the different aspects of geometrical processing of remote sensing data, discussing error sources and methods to determine the transformation from the image acquisition geometry

Landsat MSS Coordinate Transformations

Abstract : A number of image analysis tasks require the registration of a surface model with an image. In the case of satellite images, the surface model may be a map or digital terrain model in the

Digital technique for generating synthetic aperture radar images

This paper describes a digital processing method applicable to a synthetic aperture radar, to be carried by the space shuttle or by satellites, in which corrective procedures are invoked to compensate for errors introduced by the satellite motion, earth curvature, and wavefront curvature.

Principal components of a multispectral image: application to a geological problem

The principal components of a multispectral image are studied with special emphasis placed on photointerpretation applications. The method used to obtain these components involves a linear

Analysis And Processing of LANDSAT-4 Sensor Data Using Advanced Image Processing Techniques And Technologies

To decrease the dimensionality of the Landsat-4 data, principal component transformation of the data to four significant new bands was performed, and the results compared with latest available land use maps.

Geometric correction algorithms for satellite imagery using a bi-directional scanning sensor

High-precision geometric correction algorithms for a bidirectionally scanned image that are based on separate geometric models according to the distortion characteristics are described. The modeling

Landsat D Thematic Mapper Image Resampling for Scan Geometry Correction

The Landsat D system is described, and the geometric correction processing for the Thematic Mapper (TM) is reviewed. The resampling procedure (the generation of a TM output image) is analyzed with



A search for sulfide-bearing areas using LANDSAT-1 data and digital image-processing techniques

  • R. SchmidtB. ClarkR. Bernstein
  • Environmental Science, Geology
    1975 IEEE Conference on Decision and Control including the 14th Symposium on Adaptive Processes
  • 1975
Two experiments were conducted by the U. S. Geological Survey using LANDSAT-1 multi-spectral scanner (HSS) data to identify ground features that are indicators of sulfidebearing rock; a nearby known


An EFFICIENT, high-SPEED algorithm for application to GEOMETRIC CORRECTIONS to high-RESOLUTION IMAGES was applied to two images representative of those to be GENERated by the Return Beam VIDICon, which will be used during the Earth RESOURCES TECHNOLOGY SATELLITE program.

Performance Modeling of Earth Resources Remote Sensors

A technique is presented for constructing a mathematical model of an Earth resources remote sensor that includes a model of the radiation effects of the Earth's atmosphere and a descriptive set of performance parameters is derived in terms of the model.

All digital precision processing of ERTS images

The author has identified the following significant results. Experimentation was conducted to evaluate the performance of the Sequential Similarity Detection Algorithm (SSDA) to detect and locate

A Class of Algorithms for Fast Digital Image Registration

A class of algorithms, which may be used to determine similarity in a far more efficient manner than methods currently in use, is introduced in this paper and may be a saving of computation time of two orders of magnitude or more by adopting this new approach.

ERTS-1 - Teaching us a new way to see.

The ERTS-1 payload is discussed, giving attention to three television cameras, which view the same area in three different spectral bands. The payload includes also a multispectral scanner subsystem

ERTS-1 - Toward global monitoring.

The satellite has a near-polar orbit with a mean altitude of about 547 n. mi. On the average six million square kilometers are mapped daily. The multispectral scanner and other essential systems on

The Use of LANDSAT Data in a Large Area Crop Inventory Experiment (LACIE)

A Large Area Crop Inventory Experiment (LACIE) has been undertaken jointly by the U.S. Department of Agriculture, the National Oceanic and Atmospheric Administration (NOAA) of the Department of


The year 1890 is begun with the mens sana in carport sano, and it Would, therefore, appear that this should be the warmest.

Results of precision processing (scene correction) of ERTS-1 images using digital image processing techniques

ERTS-1 MSS and RBV data recorded on computer compatible tapes have been analyzed and processed, and preliminary results have been obtained. No degradation of intensity (radiance) information occurred