THERMAL ANOMALY DETECTION BASED ON SALIENCY ANALYSIS FROM MULTIMODAL IMAGING SOURCES
Thermal anomaly detection has an important role in remote sensing. One of the most widely used instruments for this task is a Thermal InfraRed (TIR) camera. In this work, thermal anomaly detection is formulated as a salient region detection, which is motivated by the assumption that a hot region oft...
Main Authors: | A. Sledz, C. Heipke |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2021-06-01
|
Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-1-2021/55/2021/isprs-annals-V-1-2021-55-2021.pdf |
Similar Items
-
UAV-BASED THERMAL ANOMALY DETECTION FOR DISTRIBUTED HEATING NETWORKS
by: A. Sledz, et al.
Published: (2020-08-01) -
THERMAL IR IMAGING: IMAGE QUALITY AND ORTHOPHOTO GENERATION
by: A. Sledz, et al.
Published: (2018-09-01) -
Multimodal imaging of the salience network in schizophrenia
by: Kumar, Jyothika
Published: (2018) -
Anomaly Detection in Natural Scene Images Based on Enhanced Fine-Grained Saliency and Fuzzy Logic
by: Hamam Mokayed, et al.
Published: (2021-01-01) -
Deep Multimodal Fusion Autoencoder for Saliency Prediction of RGB-D Images
by: Kengda Huang, et al.
Published: (2021-01-01)