Proceedings Article | 16 June 2003
KEYWORDS: Remote sensing, Ocean optics, Coastal modeling, Reflectivity, Water, Scattering, Analytical research, Atmospheric modeling, Light scattering, Sensors
Through the spectrum energy as its base, marine remote sensing technique can transfer the existing forms and variety information of seawater medium and energy. With the development of remote sensing technique especially quantitative analysis, the research of spectrum characteristic is appealing more and more attention. Surface feature information is becoming much abundant when the data, from the previous AVHRR data, CZCS data to nowadays SeaWiFS data and MODIS data, are available. And the extraction, interpretation and model establishment of remote sensing information depend on marine spectrum characteristics. Marine remote sensing acquires data in many very narrow, continuous spectral bands throughout the visible, near-IR, mid-IR, and thermal IR portions of the spectrum, which fuse the information of image and spectrum. Each pixel has an associated continuous spectrum that can be used to identify and inverse the surface materials. The spectrum data is decided by complicated aggregation which is composed of many materials, for example pure water, inorganic salt, soluble organic material, phytoplankton, chipping, mineral suspend material and so on. Various overlapped information interfere with each other, so that reflected model and spectrum curve of various surface feature is different. The interpretation of surface feature and energy is uncertain, random and changed. It is impossible to consider these factors quantificational and set a whole analysis model therefore it is important to confirm the offered portion of various material in seawater spectrum information. In marine hyperspectral research, material can show diagnostic absorption and reflectance characteristics to confirm parameter and qualification of remote sensing model. The paper reviews the characteristics to confirm parameter and qualification of remote sensing model. The paper reviews the characteristics of marine hyperspectrum technique presently, such as spectral absorb index, spectral derivative, spectral matching, spectral classification et al.
