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PREFACE

ISPRS Archives, Volume XLI, Part B7

Filiz Sunar, President, ISPRS Technical Commission VII

Istanbul Technical University (ITU), ITU Civil Engineering Faculty, Geomatics Engineering Dept. Ayazaga Campus, Maslak, 34469 Istanbul, Turkey

Commission VII

The ISPRS Technical Commission VII is devoted to Thematic Processing, Modeling and Analysis of Remotely Sensed Data. The XXII ISPRS Congress provided a setting for discussing recent developments in a wide variety of topics in TC VII such as Image classification, Change detection, Image fusion, Hyperspectral remote sensing, Radar/Lidar and InSAR technology. Hence the Congress permitted the reflection on the current state of the remote sensing, unanswered but critical questions, and potential future directions for research and development.

This volume collects the papers, which have been selected based on 227 submitted abstracts 227 and 41 full papers. The abstracts submitted for the ISPRS Archives, were evaluated by the Working Group chairs and/or officers according to content, significance, originality, relevance and clearness of presentation. Altogether there have been 155 contributed papers included in ISPRS Archives.

A number of people contributed to the success of the Congress and deserve recognition. First, I would like to thank all the members of the ISPRS Council for their support and valuable feedbacks. A special thanks should also be extended to all WG chairs and WG officers for their work in managing the review process and in the scientific program organization. I would also like to thank all the reviewers representing many different countries for their time and effort in reviewing the papers. Our special thanks go to Congress director, Dr. Lena Halounova for her devoted assistance and support in the overall organization. Finally, I would like to thank all the Congress participants for sharing their ideas, issues, and visions related to remote sensing methods and applications.

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B7, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic

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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B7, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech

Three different training sets were used for classification of RapidEye imagery and the impact of each training set, two different balanced and one imbalanced,

In this paper, a new combination between improved Freeman de- composition and the unsupervised Gaussian mixture model (GMM) classification is proposed.. Standard GMM

KEY WORDS: Polarimetric Synthetic Aperture Radar (PolSAR), Unsupervised Wishart Classification, Fisher Linear Discrimination, Feature

Greenhouse delineation: color infrared composite of selected study area (a), SVM classification result after filtering operations (b), the obtained plastic greenhouses (red

In the present study, four different classification methods accuracies are compared: maximum likelihood, decision tree, support vector machine at the pixel level

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B7, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech

Using the same classification algorithm and classified in the same semantic hierarchy, the relationship of the image quality index and classification accuracy is discussed