Implementation of Hyperspectral Image Unmixing via Alternating Projected Subgradients
نویسنده
چکیده
An imaging spectrometer is an instrument that captures a continuous spectrum of light (often ranging from 460nm to 2.5μm) for every pixel in a photograph. Using this type of instrument an image can be taken of any subject and detailed spectral analysis can be run on any part of the image produced. Hyperpectral image umixming is the process by which hyperspectral images are broken down into their most basic parts. This is a key aspect of hyperspectral imaging, allowing a complex spectrum produced by a single pixel to be decomposed into a set of basis spectrums. The basis spectrum when linearly combined make up the spectrum observed in that pixel. This set of basis spectrum can then be easily compared to a known spectrum library to determine the composition of that pixel. This particular technique is extremely useful when the image is of unknown composition.
منابع مشابه
Land Cover Subpixel Change Detection using Hyperspectral Images Based on Spectral Unmixing and Post-processing
The earth is continually being influenced by some actions such as flood, tornado and human artificial activities. This process causes the changes in land cover type. Thus, for optimal management of the use of resources, it is necessary to be aware of these changes. Today’s remote sensing plays key role in geology and environmental monitoring by its high resolution, wide covering and low cost...
متن کاملHyperspectral Image Unmixing: Accounting For Wavelength Dependence∗
We introduce a method for hyperspectral unmixing that incorporates wavelength dependence in addition to spatial dependence. Spatial dependence is incorporated into the model using class labels on the pixels that is assigned using spectral clustering. Wavelength dependence is introduced by correlating the errors in the unmixing regression models. We propose a non-standard alternating direction m...
متن کاملAnalysis of Hyperspectral Imagery for Oil Spill Detection Using SAM Unmixing Algorithm Techniques
Oil spill is one of major marine environmental challenges. The main impacts of this phenomenon are preventing light transmission into the deep water and oxygen absorption, which can disturb the photosynthesis process of water plants. In this research, we utilize SpecTIR airborne sensor data to extract and classify oils spill for the Gulf of Mexico Deepwater Horizon (DWH) happened in 2010. For t...
متن کاملGPU Implementation of Spatial-Spectral Preprocessing for Hyperspectral Unmixing
Spectral unmixing pursues the identification of spectrally pure constituents, called endmembers, and their corresponding abundances in each pixel of a hyperspectral image. Most unmixing techniques have focused on the exploitation of spectral information alone. Recently, some techniques have been developed to take advantage of the complementary information provided by the spatial correlation of ...
متن کاملAn Overview of Nonlinear Spectral Unmixing Methods in the Processing of Hyperspectral Data
The hyperspectral imagery provides images in hundreds of spectral bands within different wavelength regions. This technology has increasingly applied in different fields of earth sciences, such as minerals exploration, environmental monitoring, agriculture, urban science, and planetary remote sensing. However, despite the ability of these data to detect surface features, the measured spectrum i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011