CCD linear array sensors are widely used to acquire panchromatic and multispectral imagery for photogrammetric and remote sensing applications. The processing of this kind of images provides a challenge for algorithmic redesign and this opens the possibility to reconsider and improve many photogrammetric processing components. In addition, the basic capabilities of image matching techniques hav...

The information of slope and vegetation coverage of the monitoring region were extracted, based on DEM (Digital Evaluation Model) and Spot5 Satellite data images, and fishnet grid was generated using GIS (Geographic Information System) and RS (Remote Sensing) technique. Applying the information of slop and vegetation coverage layers into the corresponding space grid by using the function of zon...

The City of Barcelona has a population of just over 1.5 million inhabitants. The Metropolitan Region Barcelona (RMB) extends to some 3,236 km and according to the 2001 Census has a population of almost 4.4 million inhabitants. In recent years the population of the City of Barcelona has been in decline, in contrast to marked demographic increases in the wider metropolitan area. Indeed the RMB ha...

Change detecting and timely updating of residential areas is widely recognized as one of the most challenging tasks for an operational GIS. High spatial resolution satellite data provide an efficient source of information. This paper describes a hierarchical object-oriented approach for extracting residential areas from IKONOS and SPOT5 images acquired in 2001 and 2004, respectively. Hierarchic...

The Grand Canal of China is the longest ancient canal in the world. In terms of improving communications between the north and south, promoting economic and cultural exchanges and strengthening the unification of the country, the canal is an astonishingly huge project in the history of Chinese civilization. However, at present, some sections of the Grand Canal have already dried up. We are face...

In this work a parametric multi-sensor Bayesian data fusion approach and a Support Vector Machine (SVM) are used for a Change Detection problem. For this purpose two sets of SPOT5-PAN images have been used, which are in turn used for Change Detection Indices (CDIs) calculation. For minimizing radiometric differences, a methodology based on zonal "invariant features" is suggested. The choice of ...

Alaskan glaciers are among the largest regional contributors to sea-level rise in the latter half of the 20th century. Earlier studies have documented extensive and accelerated ice wastage in most regions of Alaska. Here we study five decades of mass loss on high-elevation, land-terminating glaciers of the Wrangell Mountains ( 4900 km) in central Alaska based on airborne center-line laser altim...

The areas of the land consolidation projects are generally small, so the remote sensing images used in land-cover classification for the land consolidation are generally high spatial resolution images. The spectral complexity of land consolidation objects results in specific limitation using pixel-based analysis for land cover classification such as farmland, woodland, and water. Considering th...

Dynamically changing urban areas require periodic automatic monitoring, but urban areas include various objects and different objects show diverse appearances. This makes it difficult to effectively detect urban areas. A region-growing method using the Markov random field (MRF) model is proposed for urban detection. It consists of three modules. First, it provides an automatic urban seed object...

In Geographic Object-based Image Analysis (GEOBIA), remote sensing experts benefit from a large spectrum of characteristics to interpret images (spectral information, texture, geometry, spatial relations, etc). However, the quality of a classification is not always increased by considering a higher number of features. The experts are then used to define classification rules based on a laborious...