@conference {15591,
	title = {Geo-registration of Landsat data by robust matching of wavelet features},
	booktitle = {Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International},
	volume = {4},
	year = {2000},
	month = {2000///},
	pages = {1610 -1612 vol.4 - 1610 -1612 vol.4},
	abstract = {The goal of our project is to build an operational system, which will provide a sub-pixel accuracy registration of Landsat-5 and Landsat-7 data. Integrated within an automated mass processing/analysis system for Landsat data (REALM), the input to our registration method consists of scenes that have been geometrically and radiometrically corrected, as well as pre-processed for the detection of clouds and cloud shadows. Such pre-processed scenes are then geo-registered relative to a database of Landsat chips. This paper describes our registration process, including the use of a database of landmark chips, a feature extraction performed by an overcomplete wavelet representation, and feature matching using statistically robust techniques. Knowing the approximate longitudes and latitudes of the four corners of the scene, a subset of chips which represent landmarks included in the scene are extracted from the database. For each of these selected landmark chips, a corresponding window is extracted from the scene, and each chip-window pair is registered using our robust wavelet feature matching. First results and future directions are presented in the paper},
	keywords = {atmospheric techniques, automated mass processing/analysis system, chip-window pair, cloud shadows, Clouds, Feature extraction, feature matching, geo-registration, geometrically corrected scene, geophysical signal processing, Image matching, image registration, landmark chips, Landsat chips, Landsat data, Landsat-5 data, Landsat-7 data, overcomplete wavelet representation, pre-processed scenes, radiometrically corrected scene, REALM, Remote sensing, robust matching, robust wavelet feature matching, scenes, statistically robust techniques, sub-pixel accuracy registration, wavelet features, Wavelet transforms, window},
	doi = {10.1109/IGARSS.2000.857287},
	author = {Le Moigne,J. and Netanyahu,N. S and Masek,J. G and Mount, Dave and Goward,S. and Honzak,M.}
}
@article {12103,
	title = {Security for virtual private intranets},
	journal = {Computer},
	volume = {31},
	year = {1998},
	month = {1998/09//},
	pages = {48 - 55},
	abstract = {As telecommuting grows, businesses must consider security when extending their network environment to employees{\textquoteright} homes. Researchers at the University of Pennsylvania have addressed the problem with smart cards, operating system modifications, and network authentication. We note the distinction between trust and integrity: trust is determined through the verification of components and the dependencies among them, while integrity demonstrates that components haven{\textquoteright}t been modified. Thus integrity checking in a trustworthy system is about preserving an established trust or trust relationship. Our solution to the challenge of isolating functional roles that may share a single hardware platform is called secure identity based lending (SIBL). SIBL provides multiple personalities by partitioning the hard drive into n+1 partitions, where n is the number of supported personalities. All personalities use the system partition for core operating system components and shared applications. Each of the personalities is also associated with one of the remaining partitions, which are encrypted using a symmetric algorithm},
	keywords = {businesses, Clouds, Companies, core operating system components, cryptography, Data security, employee homes, encryption, functional roles, hard drive, Home computing, home working, integrity checking, Internet, Local area networks, multiple personalities, network authentication, network environment, operating system modifications, Operating systems, Roads, secure identity based lending, security management, security of data, shared applications, SIBL, single hardware platform, smart cards, symmetric algorithm, system partition, telecommuting, Teleworking, trust relationship, trustworthy system, virtual private intranets},
	isbn = {0018-9162},
	doi = {10.1109/2.708450},
	author = {Arbaugh, William A. and Davin,J. R and Farber,D. J and Smith,J. M}
}
