Application of principal component analysis and information fusion technique to detect hotspots in NOAA/AVHRR images of Jharia coalfield, India - article no. 013523
Journal Article
·
· Journal of Applied Remote Sensing
OSTI ID:21125915
- Indian Institute of Technology Roorkee, Roorkee (India)
Present paper proposes an algorithm for hotspot (sub-surface fire) detection in NOAA/AVHRR images in Jharia region of India by employing Principal Component Analysis (PCA) and fusion technique. Proposed technique is very simple to implement and is more adaptive in comparison to thresholding, multi-thresholding and contextual algorithms. The algorithm takes into account the information of AVHRR channels 1, 2, 3, 4 and vegetation indices NDVI and MSAVI for the required purpose. Proposed technique consists of three steps: (1) detection and removal of cloud and water pixels from preprocessed AVHRR image and screening out the noise of channel 3, (2) application of PCA on multi-channel information along with vegetation index information of NOAA/AVHRR image to obtain principal components, and (3) fusion of information obtained from principal component 1 and 2 to classify image pixels as hotspots. Image processing techniques are applied to fuse information in first two principal component images and no absolute threshold is incorporated to specify whether particular pixel belongs to hotspot class or not, hence, proposed method is adaptive in nature and works successfully for most of the AVHRR images with average 87.27% detection accuracy and 0.201% false alarm rate while comparing with ground truth points in Jharia region of India.
- OSTI ID:
- 21125915
- Journal Information:
- Journal of Applied Remote Sensing, Journal Name: Journal of Applied Remote Sensing Vol. 1; ISSN 1931-3195
- Country of Publication:
- United States
- Language:
- English
Similar Records
An efficient contextual algorithm to detect subsurface fires with NOAA/AVHRR data
Forest classification of southeast Asia using NOAA AVHRR data
Automatic cloud detection applied to NOAA-11/AVHRR imagery
Journal Article
·
Tue Jul 15 00:00:00 EDT 2008
· IEEE Transactions on Geoscience and Remote Sensing
·
OSTI ID:21073796
Forest classification of southeast Asia using NOAA AVHRR data
Journal Article
·
Thu Nov 30 23:00:00 EST 1995
· Remote Sensing of Environment
·
OSTI ID:201141
Automatic cloud detection applied to NOAA-11/AVHRR imagery
Journal Article
·
Tue Nov 30 23:00:00 EST 1993
· Remote Sensing of Environment; (United States)
·
OSTI ID:5219948