Surface and Buried Mine Detection with Variance-Based Multispectral Data Fusion
نویسندگان
چکیده
منابع مشابه
Combining of Magnitude and Direction of Change Indices to Unsupervised Change Detection in Multitemporal Multispectral Remote Sensing Images
In remote sensing, image-based change detection techniques, analyze two images acquired over the same area at different times t1 and t2 to identify the changes occurred on the Earth's surface. Change detection approaches are mainly categorized as supervised and unsupervised. Generating the change index is a key step for change detection in multi-temporal remote sensing images. Unsupervised chan...
متن کاملImproving detection of buried land mines through sensor fusion
A sensor-fused system has been developed for detection of buried land mines. The system uses a ground-penetrating radar, an infrared camera, and an electromagnetic induction sensor. In the current implementation each sensor is used independently, and fusion is performed during post-processing. We briefly describe the sensors and a data collection involving buried mine surrogates. Algorithms for...
متن کاملData Fusion for Vehicle-borne Mine Detection
This paper introduces a statisticallywell-founded evaluation of the fusion of dual-band infrared and tri-band visual imagery for detecting buried land mines using real-data. A unified Bayesian framework is presented for representing and inferring from data captured by multiple sensors of scenes that may contain buried land mines.
متن کاملFusion of Panchromatic and Multispectral Images Using Non Subsampled Contourlet Transform and FFT Based Spectral Histogram (RESEARCH NOTE)
Image fusion is a method for obtaining a highly informative image by merging the relative information of an object obtained from two or more image sources of the same scene. The satellite cameras give a single band panchromatic (PAN) image with high spatial information and multispectral (MS) image with more spectral information. The problem exists today is either PAN or MS image is available fr...
متن کاملMultisensor Data Fusion for Spaceborne and Airborne Reduction of Mine Suspected Areas
The problem of mined area reduction is addressed in this paper. Pieces of information collected using airborne multispectral scanners and airborne full polarimetric SAR, together with context information, all integrated in a geographical information system, are classified and combined in order to find indicators of mine presence and mine absence and provide image analysts with adequate tools to...
متن کامل