Review on Image Processing-Based Building Damage Assessment Techniques
- Title
- Review on Image Processing-Based Building Damage Assessment Techniques
- Creator
- Sajitha I.; Sambandam R.K.; John S.P.
- Description
- Quick damage assessment is essential for starting efficient emergency response operations following natural calamities or any other kind of disasters. After a disaster, it is crucial for rescue departments to produce judgments and distribute the resources based on a fast retrieval of precise building damage status. A ground survey is used to implement traditional building assessment, and this is labor-intensive, dangerous, and time-consuming. Studies on building damage extraction over the past few decades have generally concentrated on localizing and evaluating the destructed structures, analyzing the ratio of damaged constructions, and determining the sort of destruction each construction has sustained. Recent research trends are mainly concentrated on the utilization of data collected from multiple sensors for the damage assessments of buildings. Each stage of digital image processing can be carried out in multiple ways and several novel ideas are emerging every single day. This paper reviews the various damage assessment techniques in the different steps of digital image processing. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
- Source
- Lecture Notes in Networks and Systems, Vol-726 LNNS, pp. 863-882.
- Date
- 2023-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Classification; Image enhancement; Image segmentation; Remote sensing; Satellite sensors
- Coverage
- Sajitha I., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Sambandam R.K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, India; John S.P., Department of Computer Science and Engineering, Jyothi Engineering College, Kerala, Cheruthuruthy, Thrissur, India
- Rights
- Restricted Access
- Relation
- ISSN: 23673370; ISBN: 978-981993715-8
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Sajitha I.; Sambandam R.K.; John S.P., “Review on Image Processing-Based Building Damage Assessment Techniques,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/19819.