Earth observation through remote sensing images allows the accurate characterization and
identification of materials on the surface from space and airborne platforms. Multiple and …

Characterizations of land-cover dynamics are among the most important applications of
Earth observation data, providing insights into management, policy and science. Recent …

One of the main problems related to unsupervised change detection methods based on the"
difference image" lies in the lack of efficient automatic techniques for discriminating between …

Markov models represent a wide and general family of stochastic models for the temporal
and spatial dependence properties associated to 1-D and multidimensional random …

The coast area is a vital and highly dynamic environment whose multiple geophysical
parameters are worth monitoring. At present the current coastline extraction operations …

A method for segmentation and classification of Baltic Sea ice synthetic aperture radar
(SAR) images, based on pulse-coupled neural networks (PCNNs), is presented. Also …

Synthetic aperture radar provides broad-area imaging at high resolutions, which is used in
applications such as environmental monitoring, earth-resource mapping, and military …

In remote sensing change detection, Markov random field (MRF) has been used
successfully to model the prior probability using class-labels dependencies. MRF has …

摘要马尔可夫随机场方法是图像分割中一个极为活跃的研究方向. 本文介绍了基于马尔可夫随
机场模型的一般理论与图像的关系, 给出它在图像分割中的通用框架: 包括空域和小波域图像 …

Both signal processing and image processing are playing increasingly important roles in
remote sensing. As most data from satellites are in image form, image processing has been …