Object-level change detection in spectral imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 39, Issue 3, 2001, Pages 553-561

  Hazel, Geoffrey G ^a,b  

^a IEEE   (United States)

^b NAVAL RESEARCH LABORATORY   (United States)

Author keywords

Change detection; Competitive region growth; Object level change detection (OLCD); Spatially Enhanced Broad Band Array Spectrograph System (SEBASS); Spectral image

Indexed keywords

OBJECT-LEVEL CHANGE DETECTION (OLCD); SPATIALLY ENHANCED BROAD-BAND ARRAY SPECTROGRAPH SYSTEMS (SEBASS);

ALGORITHMS; FEATURE EXTRACTION; IMAGE ANALYSIS; MAXIMUM LIKELIHOOD ESTIMATION; OBJECT RECOGNITION; SOFTWARE ENGINEERING;

REMOTE SENSING;

EID: 0035273679     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/36.911113     Document Type: Article

References (11)

1. Multivariate Gaussian MRF for multispectral scene segmentation and anomaly detection
2. Comparative performance analysis of adaptive multispectral detectors
3. Long-interval chronochrome target detection
4. Multi-spectral change detection
5. Adaptive multi-band CFAR detection of an optical pattern with unknown spectral distribution
6. Detection of sub-pixel anomalies in multispectral infrared imagery using an adaptive Bayesian classifier
7. On the statistical analysis of dirty pictures