Multiresolution Analysis of Urban Reflectance

نویسنده

  • Christopher Small
چکیده

Quantitative analysis of urban reflectance characteristics can provide insights into the spatial and temporal variations in urban reflectance that modulate solar energy fluxes through the urban environment. Characterization of urban reflectance may also facilitate development of algorithms for classification of urban landcover. The characteristic scale of urban reflectance variations is generally between 10 and 20 m and therefore comparable to the Ground Instantaneous Field of View of most operational sensors. This results in spectral heterogeneity that limits the accuracy of pixel-based classifications of urban imagery. Multisensor analyses of urban reflectance indicate that many urban areas can be described as mixtures of three or four spectral endmembers. Most urban building materials lie along a continuum between high and low albedo endmembers but vegetation is a persistent and distinct component of the urban mosaic. Nonlinear mixing generally diminishes with increasing vegetation cover such that linear mixing models may be generally appropriate for urban vegetation estimation. Preliminary analyses of Landsat imagery in a number of urban areas worldwide suggests that linear mixing models with three and four endmember may be generally applicable to urban areas. Spectral heterogeneity at scales of tens of meters may be a more consistent characteristic of urban reflectance than any single reflectance spectrum.

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

Adopting the Multiresolution Wavelet Analysis in Radial Basis Functions to Solve the Perona-Malik Equation

Wavelets and radial basis functions (RBF) have ubiquitously proved very successful to solve different forms of partial differential equations (PDE) using shifted basis functions, and as with the other meshless methods, they have been extensively used in scattered data interpolation. The current paper proposes a framework that successfully reconciles RBF and adaptive wavelet method to solve the ...

متن کامل

Extended Local Binary Pattern Features for Improving Settlement Type Classification of QuickBird Images

Despite the fact that image texture features extracted from high-resolution remotely sensed images over urban areas have demonstrated their ability to distinguish different classes, they are still far from being ideal. Multiresolution grayscale and rotation invariant texture classification with Local Binary Patterns (LBPs) have proven to be a very powerful texture feature. In this paper we perf...

متن کامل

Pseudoframe multiresolution structure on abelian locally compact groups

‎Let $G$ be a locally compact abelian group‎. ‎The concept of a generalized multiresolution structure (GMS) in $L^2(G)$ is discussed which is a generalization of GMS in $L^2(mathbb{R})$‎. ‎Basically a GMS in $L^2(G)$ consists of an increasing sequence of closed subspaces of $L^2(G)$ and a pseudoframe of translation type at each level‎. ‎Also‎, ‎the construction of affine frames for $L^2(G)$ bas...

متن کامل

Wavelet Transformation

Wavelet transformation is one of the most practical mathematical transformations in the field of image processing, especially image and signal processing. Depending on the nature of the multiresolution analysis, Wavelet transformation become more accessible and powerful tools. In this paper, we refer to the mathematical foundations of this transformation.   Introduction: The...

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 2001