Remote Sensing Data Processing in Sweden

Machine processing of remotely sensed data in Sweden is at present limited to one research group. Current activities encompass development of maximum likelihood classification procedures on a general purpose IBM 360/75 and later also on a special purpose PDP 11/40 with Ramtek GX 100 B Graphical disp...

Full description

Bibliographic Details
Main Author: Akerston, Ingvar S.
Format: Text
Language:unknown
Published: Purdue University 1975
Subjects:
Online Access:https://docs.lib.purdue.edu/lars_symp/97
https://docs.lib.purdue.edu/context/lars_symp/article/1098/viewcontent/1975_4B_15.pdf
id ftpurdueuniv:oai:docs.lib.purdue.edu:lars_symp-1098
record_format openpolar
spelling ftpurdueuniv:oai:docs.lib.purdue.edu:lars_symp-1098 2023-07-02T03:33:42+02:00 Remote Sensing Data Processing in Sweden Akerston, Ingvar S. 1975-01-01T08:00:00Z application/pdf https://docs.lib.purdue.edu/lars_symp/97 https://docs.lib.purdue.edu/context/lars_symp/article/1098/viewcontent/1975_4B_15.pdf unknown Purdue University https://docs.lib.purdue.edu/lars_symp/97 https://docs.lib.purdue.edu/context/lars_symp/article/1098/viewcontent/1975_4B_15.pdf LARS Symposia text 1975 ftpurdueuniv 2023-06-12T20:25:20Z Machine processing of remotely sensed data in Sweden is at present limited to one research group. Current activities encompass development of maximum likelihood classification procedures on a general purpose IBM 360/75 and later also on a special purpose PDP 11/40 with Ramtek GX 100 B Graphical display unit for interactive processing. Our Algorithm is adapted from the interesting modification of this method used by Robert H. Dye of the Bendix Corporation. In a sense this technique amounts to a "dynamic" determination of the optimum information yielding combination of a few wave length bands from a larger number of available spectral bands. Testing and evaluation of the analysis programs is done in an application to land vegetation mapping and the particular problem wed for these purposes is the identification of clear cut areas in forested regions. One of the output units in our special purpose image processing system is a novel Swedish color ink jet plotter, capable of generation hardcopy imagery in three colors about 10 - 16 gray levels each on plain paper or transparencies. It is a drum plotter with a registration capacity of 3 ⨯ 1024 ⨯ 1536 points in about 120 seconds on an area of about 20 CM ⨯ 28 CM. This project as well as other major remote sensing projects is sponsored in part by the remote sensing committee of the Swedish board of space activities. The research is mainly concentrated to three problem areas of particular interest VIZ land vegetation, sea ice, and oil pollution. Text Sea ice Purdue University: e-Pubs
institution Open Polar
collection Purdue University: e-Pubs
op_collection_id ftpurdueuniv
language unknown
description Machine processing of remotely sensed data in Sweden is at present limited to one research group. Current activities encompass development of maximum likelihood classification procedures on a general purpose IBM 360/75 and later also on a special purpose PDP 11/40 with Ramtek GX 100 B Graphical display unit for interactive processing. Our Algorithm is adapted from the interesting modification of this method used by Robert H. Dye of the Bendix Corporation. In a sense this technique amounts to a "dynamic" determination of the optimum information yielding combination of a few wave length bands from a larger number of available spectral bands. Testing and evaluation of the analysis programs is done in an application to land vegetation mapping and the particular problem wed for these purposes is the identification of clear cut areas in forested regions. One of the output units in our special purpose image processing system is a novel Swedish color ink jet plotter, capable of generation hardcopy imagery in three colors about 10 - 16 gray levels each on plain paper or transparencies. It is a drum plotter with a registration capacity of 3 ⨯ 1024 ⨯ 1536 points in about 120 seconds on an area of about 20 CM ⨯ 28 CM. This project as well as other major remote sensing projects is sponsored in part by the remote sensing committee of the Swedish board of space activities. The research is mainly concentrated to three problem areas of particular interest VIZ land vegetation, sea ice, and oil pollution.
format Text
author Akerston, Ingvar S.
spellingShingle Akerston, Ingvar S.
Remote Sensing Data Processing in Sweden
author_facet Akerston, Ingvar S.
author_sort Akerston, Ingvar S.
title Remote Sensing Data Processing in Sweden
title_short Remote Sensing Data Processing in Sweden
title_full Remote Sensing Data Processing in Sweden
title_fullStr Remote Sensing Data Processing in Sweden
title_full_unstemmed Remote Sensing Data Processing in Sweden
title_sort remote sensing data processing in sweden
publisher Purdue University
publishDate 1975
url https://docs.lib.purdue.edu/lars_symp/97
https://docs.lib.purdue.edu/context/lars_symp/article/1098/viewcontent/1975_4B_15.pdf
genre Sea ice
genre_facet Sea ice
op_source LARS Symposia
op_relation https://docs.lib.purdue.edu/lars_symp/97
https://docs.lib.purdue.edu/context/lars_symp/article/1098/viewcontent/1975_4B_15.pdf
_version_ 1770273750705504256