Measurements of Impervious Surfaces - per-pixel, sub-pixel, and object-oriented classification -

Urban Image Classification: Per-pixel Classifiers, Sub-pixel Analysis, Object-based Image Analysis, and Geospatial Methods

10. Urban Image Classification: Per-pixel Classifiers, Sub-pixel Analysis, Object-based Image Analysis, and Geospatial Methods

Estimation of Sub-pixel Impervious Surfaces Using Landsat and Aster Imagery for Assessing Urban Growth

Urban development has expanded rapidly in the Las Vegas, Nevada metropolitan area over the last fifty years. Associated with this growth trend has been the transformation of the landscape from natural cover types to increasingly impervious urban land. To map urban extent and its change over time, an innovative approach is employed that determines sub-pixel impervious surfaces from highresolutio...

Mapping Impervious Surface Area Using High Resolution Imagery: a Comparison of Object-based and per Pixel Classification

Impervious surface area is a key indicator of environmental quality. Satellite remote sensing of impervious surface has focused on subpixel analysis via various forms of statistical estimation, subpixel classification, and spectral mixture analysis, using medium resolution Landsat TM or ETM+ data. Maps of impervious surface area from these studies provide useful inputs to planning and managemen...

Local Histograms for Per-pixel Classification Dissertation

We introduce a rigorous mathematical theory for the analysis of local histograms, and study how they interact with textures that can be modeled as occlusions of simpler components. We first show how local histograms can be computed as a system of convolutions and discuss some basic local histogram properties. We then introduce a probabilistic, occlusion-based model for textures and formally dem...