Submitted to: Geocarto International
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 10/25/2002
Publication Date: 8/20/2003
Citation: Yang, C., Everitt, J.H., Mao, C., Davis, M.R. 2003. A ccd camera-based hyperspectral imaging system for stationary and airborne applications. Geocarto International. 18(2):71-80. Interpretive Summary: Hyperspectral imaging systems have potential for identification of optimal bands and/or band combinations for a variety of remote sensing applications. This paper describes a hyperspectral imaging system that can capture images from 32 to 1024 narrow wavelength bands in the visible to near-infrared spectral regions. One unique feature of the hyperspectral imaging system is that it can be used for both stationary and airborne applications. The methods for image data correction presented in the paper have practical values for geometric restoration of distorted hyperspectral imagery.
Technical Abstract: This paper describes a charge coupled device (CCD) camera-based hyperspectral imaging system designed for both stationary and airborne remote sensing applications. The system consists of a high performance digital CCD camera, an imaging spectrograph, an optional focal plane scanner, and a PC computer equipped with a frame grabbing board and camera utility software. The CCD camera provides 1280(h) x 1024(v) pixel resolution and true 12-bit dynamic range. The imaging spectrograph is attached to the camera via an adapter to disperse radiation into a range of spectral bands. The effective spectral range resulting from this integration is from 467.2 nm to 931.7 nm. The optional focal plane scanner can be attached to the front of the spectrograph via another adapter for stationary image acquisition. The utility software allows for complete camera control and image acquisition. The horizontal and vertical binning capability of the camera makes it possible to obtain images with various spatial (160, 320, 640 and 1280 pixels in image width) and spectral (32, 64, 128, 256, 512 and 1024 bands) resolutions. Formulas are presented to show the relationships among binning factors, spatial resolutions, and flight height and speed. Images with all 24 possible combinations of binning factors were collected in a laboratory setting. Airborne images with 128 bands and a width of 640 pixels were also obtained from agricultural fields, rangelands, and waterways. Procedures were developed to correct geometric distortions of the airborne hyperspectral imagery. Preliminary image acquisition testing trials indicate that this CCD camera-based hyperspectral imaging system has potential for agricultural and natural resources applications.