NDLI: Reference data preparation for complex satellite image segmentation

Content Provider	IET Digital Library
Author	Sharma, Ashu Ghosh, Jayanta Kumar Kolay, Saptarshi
Abstract	The high spatial resolution satellite images covering multiple objects of the urban area are visually complex in nature. This visual complexity causes ambiguity during segmentation of such images when the targets are unknown. In such case, reference data are required to assess the segmentation methods. Due to excellence of humans in visual analysis, the presented work has attempted for a psycho-visual approach to prepare the reference segmented complex HRS images. The reference data have has prepared through the correlation of the quantified eye-tracking data (metrics) and corresponding concurrent think-aloud (CTA) data for each of the created segments. Segments get updated based on Gestalt principles and Gibson's theory. Those segments having the best correlation between metrics and CTA data have been opted as the final output. The results suggest that the functional grouping of objects while preferring perceptual grouping for segments drawing conforms the most to the participants' verbal response. The final results have been compared with the existing notion of full segmentation used for complex images. The comparison also proffers the superiority of the proposed segmentation over full segmentation to be used as reference. In the future, a large number of images may be used to prepare better reference data.
Starting Page	628
Ending Page	637
Page Count	10
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 4, Mar (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0234
Journal	IET Image Processing
Publisher Date	2019-10-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Concurrent Think-aloud Data CTA Data Data Preparation Eye-tracking Data Gestalt Principles Gibson Theory High-resolution Satellite Image HRS Image Image Segmentation Optical, Image And Video Signal Processing Psycho-visual-based Approach Satellite Image Segmentation Segmentation Method Visual Analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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