Abstract: A computer-implemented method for generating an image-textured digital surface model (DSM) for a geographical area of interest including both buildings and terrain may include using a computer to generate a digital elevation model (DEM) of both the buildings and terrain for the geographical area of interest. The method may further include providing a collection of optical images including oblique optical images for the geographical area of interest including both buildings and terrain. The computer may also be used to selectively superimpose oblique optical images from the collection of optical images onto the DEM of both the buildings and terrain for the geographical area of interest and to thereby generate the image-textured DSM for the geographical area of interest including both buildings and terrain.

Abstract: A computer-implemented method for generating an image-textured digital surface model (DSM) for a geographical area of interest including both buildings and terrain may include using a computer to generate a digital elevation model (DEM) of both the buildings and terrain for the geographical area of interest. The method may further include providing a collection of optical images including oblique optical images for the geographical area of interest including both buildings and terrain. The computer may also be used to selectively superimpose oblique optical images from the collection of optical images onto the DEM of both the buildings and terrain for the geographical area of interest and to thereby generate the image-textured DSM for the geographical area of interest including both buildings and terrain.

Abstract: An information retrieval and visualization system utilizes multiple search engines for retrieving documents from a document database based upon user input queries. Search engines include an n-gram search engine and a vector space model search engine using a neural network training algorithm. Each search engine produces a common mathematical representation of each retrieved document. The retrieved documents are then combined and ranked. Mathematical representations for each respective document is mapped onto a display. Information displayed includes a three-dimensional display of keywords from the user input query. The three-dimensional visualization capability based upon the mathematical representation of information within the information retrieval and visualization system provides users with an intuitive understanding, with relevance feedback/query refinement techniques that can be better utilized, resulting in higher retrieval accuracy (precision).

Abstract: An information retrieval and visualization system utilizes multiple search engines for retrieving documents from a document database based upon user input queries. Search engines include an n-gram search engine and a vector space model search engine using a neural network training algorithm. Each search engine produces a common mathematical representation of each retrieved document. The retrieved documents are then combined and ranked. Mathematical representations for each respective document is mapped onto a display. Information displayed includes a three-dimensional display of keywords from the user input query. The three-dimensional visualization capability based upon the mathematical representation of information within the information retrieval and visualization system provides users with an intuitive understanding, with relevance feedback/query refinement techniques that can be better utilized, resulting in higher retrieval accuracy (precision).

Abstract: An information retrieval and visualization system utilizes multiple search engines for retrieving documents from a document database based upon user input queries. Search engines include an n-gram search engine and a vector space model search engine using a neural network training algorithm. Each search engine produces a common mathematical representation of each retrieved document. The retrieved documents are then combined and ranked. Mathematical representations for each respective document is mapped onto a display. Information displayed includes a three-dimensional display of keywords from the user input query. The three-dimensional visualization capability based upon the mathematical representation of information within the information retrieval and visualization system provides users with an intuitive understanding, with relevance feedback/query refinement techniques that can be better utilized, resulting in higher retrieval accuracy (precision).

Abstract: An information retrieval and visualization system utilizes multiple search engines for retrieving documents from a document database based upon user input queries. Search engines include an n-gram search engine and a vector space model search engine using a neural network training algorithm. Each search engine produces a common mathematical representation of each retrieved document. The retrieved documents are then combined and ranked. Mathematical representations for each respective document is mapped onto a display. Information displayed includes a three-dimensional display of keywords from the user input query. The three-dimensional visualization capability based upon the mathematical representation of information within the information retrieval and visualization system provides users with an intuitive understanding, with relevance feedback/query refinement techniques that can be better utilized, resulting in higher retrieval accuracy (precision).