Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

Damen, M. C. J.

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Multivolume work

Persistent identifier:: 856342815

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856342815

Language:: English

Additional Notes:: Volume 1-3 erschienen von 1986-1988

Editor:: Damen, M. C. J.

Document type:: Multivolume work

Volume

Persistent identifier:: 856343064

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Scope:: XV, 547 Seiten

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856343064

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,1)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Damen, M. C. J.

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: 1 Visible and infrared data. Chairman: F. Quiel, Liaison: N J. Mulder

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Man-machine interactive classification technique for land cover mapping with TM imagery. Shunji Murai, Ryuji Matsuoka & Kazuyuli Motohashi

Document type:: Multivolume work

Structure type:: Chapter

57 Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 Man-machine interactive classification technique for land cover mapping with TM imagery Shunji Murai, Ryuji Matsuoka & Kazuyuli Motohashi Institute of industrial science, University of Tokyo, Japan ABSTRACT: The conventional classification, for example, the maximum likelihood method for land cover classification has limitations of lower accuracy because of an assumption of normal distribution for respective classes. In order to improve the accuracy of classification, the paper deals with an improved classification technique based on man-machine interactive system to enable to consider the actual distribution and to enable to interactively study between the imagery, histogram and the existing topo-map using a computer system with two color graphic displays and a digitizer. To assist human interpretability, HSI ( Hue, Saturation and Intensity ) conversion and/or pricipal components can be applied to the conversation with the computer system. The improved technique was tested in the vicinity of Tokyo Area with Themetic Mapper data. As compared with the result of the conventional method, the result of the study was much improved. The man-machine interactive classification technique developed by the authors can be said " a real time and on-line classification ". 1 THE OBJECTIVE OF THE STUDY In order to improve the following disadvantages of conventional maximum likelihood method; * misclassification due to the assumption of normal distribution * lack of consideration with detail information on each pixel in the histogram or each geographic position on a map, and * lack of adoption of classification order from the reliability or separability, an interactive man-machine classification technique has been developed to enable a real time or on-line classification with use of image plane, two dimen sional histogram plane and map plane located on a digitizer tablet. 2 MAN-MACHINE CLASSIFICATION SYSTEM (MACSYS) 2.1 Hardware system The following units are utilized. 1) Computer: FACOM M 170 F (8MB memory, 7.6GB Disc) 2) Color Graphic Display: NEXUS (512x480x27bits) 3) Digitizer: Oscon graphic digitizer The following three planes are registered in order to implement the man-machine classification system as shown in Figure 1. 1) Image plane: generated in graphic display with a work file 2) Histogram plane: generated in graphic display with a work file 3) Map plane: generated on tablet digitizer with a geometric transform to both of image plane and histogram plane 2.2 Software system The following softwares were developed in menu type. 1) FRQ-IMG: A point or polygon given in a histogram plane is tranformed into the image plane 2) IMG-FRQ: A point or polygon given in an image plane is transformed to the histogram plane 3) IMG-IMG: A point or polygon given in an image IMAGE PLANE FRQ-IMG \ HISTOGRAM PLANE 1 IMG-FRQ MAP-IMS \ / MAP-FRO Figure 1 Man-machine interactive system (MACSYS) 4) MAP-IMG: 5) MAP-FRO: 6) ON IMG: 7) ON MAP: 8) CATEGORY: 9) DISPLAY: 10) RESET: plane is classified in a given color code A point or polygon given in a map plane is classified in a given color code A point or polygon given in a map plane is tranformed to the histogram plane Classified map is edited in an image plane Classified map is edited in a map plane A class to be classified can be given A current work file will be displayed A work file will be cleared Both of image and histogram planes can be zoomed up to 4 times and 8 times. The current results of classification may be stored in a registered work file of image and histogram plane respectively. MACSYS also includes a function to detect which pixels in an image plane or histogram plane are not yet classified.

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