High-accuracy Atmosphere Correction for Hyperspectral Data (hatch)

نویسندگان

  • Zheng Qu
  • Alexander F. H. Goetz
  • Kathleen B. Heidebrecht
چکیده

1) the Malkmus band model based on HITRAN 92 database: HITRAN 96 and HITRAN 99 are now available with more accurate molecular line parameters. Also ATREM employs the multiplication rule to handle transmittance in spectral regions where multiple gas absorption is present. This results in less accurate transmittance calculation in these regions, e.g., at 2.0μm where both H2O and CO2 strongly absorb. 2) separation of multiple scattering process from absorption process in the atmosphere: this is a result from the use of a band model for gaseous transmittance calculation. It causes less accurate path radiance calculation for short wavelengths and for turbid atmospheric conditions. 3) the three-band ratioing technique for water vapor amount retrieval: the prerequisite for this technique is that the surface reflectance spectrum is linear in wavelength in the water vapor absorption region to be used. This brings about retrieval errors when the surface reflectance spectrum is not linear for wavelength, for instance, for iron rich soil and wet vegetation.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

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 کامل

Role of smile correction in mineral detection on hyperion data

This work aims to extract the mineralogical constituents of the Lahroud Hyperion scene situated in the NW of Iran. Like the other push-broom sensors, Hyperion images suffer from spectral distortions, namely the smile effect. The corresponding spectral curvature is defined as an across-track wavelength shift from the nominal central wavelength, and alters the pixel spectra. The common “column me...

متن کامل

Urban Vegetation Recognition Based on the Decision Level Fusion of Hyperspectral and Lidar Data

Introduction: Information about vegetation cover and their health has always been interesting to ecologists due to its importance in terms of habitat, energy production and other important characteristics of plants on the earth planet. Nowadays, developments in remote sensing technologies caused more remotely sensed data accessible to researchers. The combination of these data improves the obje...

متن کامل

Analysis 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 کامل

A Novel Approach for the Radiometric Correction of Airborne Hyperspectral Image Data

Hyperspectral imaging is increasingly used in various environmental measurement applications. Airborne hyperspectral sensors enables ground sampling distances (GSD) below 1 meter with high spectral resolution. In order to utilize this data in quantitative remote sensing applications, an accurate radiometric correction of the imagery has to be performed. In this article we present a radiometric ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2000