XVIIIth Congress: Commission VI

Kraus, Karl; Waldhäusl, Peter

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Multivolume work

Persistent identifier:: 1667435949

Title:: XVIIIth Congress

Sub title:: Vienna, Austria 1996

Year of publication:: 1996

Place of publication:: Vienna

Publisher of the original:: Austrian Society of Surveying and Geoinformation

Identifier (digital):: 1667435949

Language:: English

Editor:: Kraus, Karl; Waldhäusl, Peter

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1677550198

Title:: Commission VI

Scope:: 149, 110, 92 Seiten

Year of publication:: 1996

Place of publication:: Vienna

Publisher of the original:: Austrian Society of Surveying and Geoinformation

Identifier (digital):: 1677550198

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(31,B6)

Language:: English

Additional Notes:: Die Vorlage enthält insgesamt 3 Werke: Commission VI (Seiten 1-149); National reports (Seiten 1-110); Special sessions (Seiten 1-92)

Other Title:: Enthaltendes Werk: National Reports; Enthaltendes Werk: Special sessions

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

Editor:: Kraus, Karl; Waldhäusl, Peter

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Economic, Professional, and Educational Aspects of Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Economic, Professional, and Educational Aspects of Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Economic, Professional, and Educational Aspects of Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Economic, Professional, and Educational Aspects of Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: Commission VI

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: ASEAN - AN IMAGE ANALYSIS SYSTEM FOR REMOTE SENSING TRAINING AND EDUCATION. Nguyen Dinh Duong [...], Shoji Takeuchi [...], Kohei Cho [...] Commision VI, Working group 2

Document type:: Multivolume work

Structure type:: Chapter

X k-up-table n by index assified or useful for oral image n and their ding noise arithmetic g different to 3 steps. a temporal p program arithmetic limited on expression ORTRAN on of the am checks roceeds to in order to alues 0 is Maximum following tation the Input files stics) file. SEAN 2.0 can classify up to 255 classes, class O is always reserved for unknown (unclassified) class. Number of channels af the Input image : 4 The formule can be up to 68 characters long The formula will be constructed based on FORTRAN style using any FORTRAN intrinsic functions and the following mathematics character set : 1234567698.[ j-?f- x Mathematics symbols 01,52,....bi,...bn ^^ Digital values of band í Wew value - FID, 2... ba] = |b3-bzi*t 00.4 b3:b2)4127. | Figure 3. Formula definition for Arithmetic operation Program first classifies the look up table LUT1 and then the image data in CPT format will be labeled according to the code of pixel value vector that has been classified in LUTI. During classification program prompts for two parameters : sigma range and correction factor. The sigma range is actually multiplicity of standard deviation of the class. Default value of it is set to 3.0. The correction factor is primary conversion coefficient. Decrease of it has the effect to falsely increase the likelihood for the class. Its default value is set to 1.0. When classification result seems to be incorrect by unknown reason, it is possible to use this coefficient to correct the result. The classification process is interactive that is after classification user can observe at once the result on the screen and if the result does not meet the requirement then by changing sigma range and correction factors classification can be repeated until satisfied result is achieved. Class 1 : POND Sigma Range — Correction Facter Ws; Figure 4. Maximum likelihood classification 3.5 Change Analysis This is a group of three separate functions used to display multidate image after registration, extraction of the change between two classified images and display of the change matrix. By Plural image display menu two or three multidate images can be mixed and displayed. The nature of the mixed display is to assign certain band of input images to one of three image planes red, green or blue. The result image is an overlay of different bands from different images. WinASEAN can mix image data in different format as BSQ, BIL, BIP. In order to generate view of changes based on two classified images taken from different time ASEAN create at first change matrix and stores it in file .CHA. Program ignores all combination between the same classes and assigns them black color for display. The .CHA file has structure as following Image header 1024 bytes Encoded image data Number of lines * number of columns * code size Color table LUT2 Frequency of each change pattern Name of the first image Legend of the first image Name of the second image Legend of the second image LUTI Look - up - table containing all changes Because the change matrix is actually not image so in order to display it program assigns to each code three artificial gray values and then use it to generate visual presentation. The color is selected so that the color difference between codes is maximal. During display individual color presentation for each change combination can be changed. By this way some change combinations can be switched off by assigning to black color or enhanced some combination by changing their color to vivid one. 1. mage 2. image Counis Code VEGET2 vegeti — 128920 12 Figure 5. Change matrix display 3.6 Bird's Eye View Image Generation The goal of bird's eye view image generation is to create a projected image according to the selected azimuth, depression angles and DEM of the selected area. DEM (Digital Elevation Model) contains ground height or elevation of each pixel and it is represented as grid with ground resolution as same as resolution of remote sensing data to be overlaid on the DEM. Each cell of the DEM contain information about elevation which is usually coded by 1, 2 or 4 bytes. International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B6. Vienna 1996

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