Proceedings of the Symposium on Global and Environmental Monitoring: Proceedings of the Symposium on Global and Environmental Monitoring

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Persistent identifier:: 856665355

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts ; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856665355

Language:: English

Document type:: Multivolume work

Volume

Persistent identifier:: 856669164

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Scope:: XIV, 912 Seiten

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856669164

Illustration:: Illustrationen, Diagramme, Karten

Signature of the source:: ZS 312(28,7,1)

Language:: English

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

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

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:: [THP-4 MICROWAVE SENSING]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: LASER RADAR IMAGES ITERATIVE SEGMENTATION TOR DYNAMIC SCENES. V. M. Lisitayn, K. V. Obrosov, N. H. Pasechny, V. A. Stephanov

Document type:: Multivolume work

Structure type:: Chapter

716 LASER RADAR IMAGES ITERATIVE SEGMENTATION TOR DYNAMIC SCENES V.fc. fiis.i tsyn, K. V. Obrosov, N « IT. Pa ne army, V. A. Stephanov The Research Institute of Automatic Systems, USSR, ISPRS Commission VIT ABSTRACT The paper deals wxth Doppler optica] images (DOI) segmentation technique based on a posteriori probability maximum criterion. The specific feature of speckled image formation is an inequal accuracy of different pixels Doppler frequency measurement due to echo amplitude fluctuation. The dual stochastic model is used for .image des— cription. A posteriori probability calculation equations are derived. The paper presents binary segmentation algorithms for plane-parallel and arbitrary motion of objects being sensed when sensor moves relative to underlying surface. The mathema tical modeling results are presented which prove algorithm efficiency. The computa tional burden of segmentation algorithins implementation on mainframe digital compu ter is assessed. Key Words: Doppler speckled images, binary segmentation, dual stochastic model. 1. INTRODUCTION A new class of information systems - Doppler optical systems with coherent radiation and heterodyne echo reception - provides aii effective means of remote sensing. These systems are the result of radar and electro-optical sensor technology fusion. They combine optical techniques and radar signal analysis and processing methods.(Hull,1982). The systems of this type offer a number of important advantages and are parti cularly suited for applied problems solution, including automatic search, detection and recognition of small-size mobile objects against complex back ground. (Harney , 1 981 i Harney,I960; Prey, 1983). The solution of automatic object reco gnition problem based on digital image processing techniques requires a preli minary segmentation of a scene being sensed which is the image partitioning into uniform by some attribute regions (Sullivan,1980). DOI segmentation is traditionally implemented through se lection of pixels with -frequencies ex ceeding the specified threshold which is common in radiolocation (Pney,1983). This Doppler shift frequency selection may he complemented by amplitude selec ti Oil. The traditional approach to DOT segmen tation, however, often gives extremely unsatisfactory results as doesn't ac count for spatial extension of object images, correlation between object pix els frequencies and some pr ! ncipal pe culari ties of 1)01 formation. 2. THE PROBLEMS OP DOPPLER OPTICAL IMAGES SEGMENTATION The so called speckle-effect is inhe rent in real DOI. It is related to ra diation coherence and manifests itself by exponential random DOi pixel inten sity distribution (Sullivan,1980;Lota- lick, 1986; Goodman,1985). p(A)Jt tv №} at 4> '° L 0 otherwise where A - is the mean intensity value defined by object or backgi'ound reflec tion factor. One-dimensional probabili ty distribution density provides the comprehensive characteristic of speckle structure so far as echo intensity flu ctuations in neighbouring pixels are statistically independent (Sullivan, 1980; Wang,1984). The DOI speckle struc ture essentially effects echo frequency assessment. When sensor internal noise level A„ is fixed, the frequency measu rement error in each DOT element in a first approximation is defined by (Dan- sac, 1985) 6 F ~ i/T/A/An (D where T - pixel analysis time. Thus the problem of statistically opti mal DOI segmentation procedure synthe sis arises. The procedure must account for extension of objects being analysed, their frequency images correlation pro perties, probabilistic characteristics of measurement results, a priori object shape information and correlation bet ween received signals frequency and in tensity assessments. There are many heuristic approaches to segmentation (.Bopil<Jt:HnO,I987 ), Though attractive regarding applied problems solution these approaches have obvious limitations in terms of quantity asses sment of segmentation procedures quali ty, stability, reliability and computa tional complexity. Recently some papers have appeared (Therrien,1986; Derin, 1986), in which statistical evaluation theory is applied, to segmentation prob lems. 3. DOI SEGMENTATION PROBLEM STATEMENT Let DOI is presented as a frequency mat- rix HU with dimensions and as an intensity matrix /4= . E sta tistical characteristics are given. Let the typos of image regions being seg mented are predetermined and nave num bers from 0 to R-1. Suppous each (x,y) pixel may take arbitrary state S X yequal to one of the region type numbers. We

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