A method has been developed which automatically extracts river and river bank locations from arbitrarily sourced high resolution ("lm) visual spectrum imagery without recourse to multi-spectral or even color information. This method relies on quantifying the difference in image texture between the relatively smooth surface of the river water and the rougher surface of the vegetated land or buil...

The regression analysis for the general image-quality equation (GIQE) [Appl. Opt. 36, 8322-8328 (1997)] was performed using image data from well-corrected optical systems. We conducted human-subject experiments to examine the use of the GIQE with aberrated imagery. A modified image-quality equation for aberrated imagery is presented based on analysis of the experimental results.

SPOT panchromatic imagery of Beijing has been studied to capture the unique spatial pattern of the city. Texture analysis, which reveals spatial variations, was adopted to interpret the urban spatial patterns. Statistical and structural texture features were extracted from the SPOT image and evaluated for their capability of detailed mapping of urban structures. Supervised image classifications...

In this paper we present preliminary results of a new technique for autofocus of synthetic aperture sonar (SAS) imagery, which employs global optimisation techniques based on image quality measures and motion statistics of the towfish. From each reconstructed image a quality measure is calculated and balanced with a cost measure calculated from the known statistics of the towfish motion. This i...

This work explores hand-eye coordination of robot by using a camera with functions of zooming and focusing. Under the guidance of the camera, a robot hand can arrive at an object to manipulate it in the 3D space. The hand movement is decomposed into the move parallel to the image plane and the move in depth, which are controlled from image position and focus value of the hand. The focal value i...

We present a method to give single band intensified nightvision imagery a natural day-time color appearance. For input, the method requires a true color RGB source image and a grayscale nightvision target image. The source and target image are both transformed into a perceptually decorrelated color space. In this color space a best matching source pixel is determined for each pixel of the targe...

This paper presents algorithmic components and corresponding software routines for extracting shoreline features from remote sensing imagery and LiDAR data. Conceptually, shoreline features are treated as boundary lines between land objects and water objects. Numerical algorithms have been identified and devised to segment and classify remote sensing imagery and LiDAR data into land and water p...

We describe three advanced techniques incorporated into the design of a model-based image analysis system which automatically estimates the orientation vector of satellites and their sub-components. The system, implemented in Khoros, operates on images obtained from a ground-based optical surveillance system. Features of each satellite image are rst extracted by partitioning the image and const...

We present a method to give (fused) multiband night-time imagery a natural day-time colour appearance. For input, the method requires a false colour RGB image that is produced by mapping three individual bands (or the first three principal components) of a multiband nightvision system to the respective channels of an RGB image. The false colour RGB nightvision image is transformed into a percep...