The knowledge of impervious surfaces, especially the magnitude, location, geometry, spatial
pattern of impervious surfaces and the perviousness–imperviousness ratio, is significant to a …

Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …

提出了基于支撑向量机(SVM) 的遥感影像空间特征提取的新方法, 并以SPOT
全色波段影像上城市特征信息的提取为应用实例, 并与人工神经网络(ANN) 等特征提取方法进行 …

Automatic land cover classification from satellite images is an important topic in many
remote sensing applications. In this paper, we consider three different statistical approaches …

This paper presents an evaluation of several parametric classification algorithms to assess
their accuracy on various landscapes. Traditionally the maximum likelihood classifier is used …

Point cloud classification plays a critical role in point cloud processing and analysis.
Accurately classifying objects on the ground in urban environments from airborne laser …

A method to estimate vegetation cover, density and background brightness parameters in a
rangeland environment from low-altitude digital images is presented. A digital still-frame …

The diversity of future landscapes might depend on our ability to predict their potential
species richness. The predictability of patterns of vascular plant species richness in a …

Aim We tested the usefulness of satellite based remote sensing data and geographical
information system (GIS) techniques (1) in explaining the observed distribution of the …

A new technique for predicting missing field boundaries was developed to increase the
accuracy of per-field classification. This technique is based on a comparison of within-field …