An integrated method that incorporates the advantages of per-parcel and perpixel approaches as well as spectral and spatial characteristics was proposed for crop classification of a typical agricultural area in south-east China using SPOT5 HRV data. The co-occurrence texture was employed to evaluate the heterogeneity of the image data. The average parcel textures determined each parcel defined ...

Remote sensing began with the use of aerial photography and is acknowledged as a valuable tool for viewing, analyzing, characterizing, and making decisions about our environment. The Grand Canal of China is the longest ancient canal in the world and recently approved as the Key National Relics-preservation Unit. In our work multi-source and multi-temporal remote sensing data, including the aeri...

This study is a preliminary operation of a global project which goal is to interpret urban scenes from satellite images in order to recognize and classify roads and buildings. Actually, the research is focused on buildings. We plan to apply these algorithms on the forthcoming satellite data of PLEIADE HR which will follow SPOT5. The input data consists of a panchromatic stereopair of satellite ...

The daily management of an observation satellite like Spot, which consists in deciding every day what photographs will be attempted the next day, is of a great economical importance. But it is a large and difficult combinatorial optimization problem, for which efficient search methods have to be built and assessed. In this paper we describe the problem in the framework of the future Spot5 satel...

The paper proposes a hybrid feature selection approach based on Rough sets and Bayesian network classifiers. In the approach, the classification result of a Bayesian network is used as the criterion for the optimal feature subset selection. The Bayesian network classifier used in the paper is a kind of naive Bayesian classifier. It is employed to implement classification by learning the samples...

[1] Correlation of KH9 spy and SPOT5 satellite images, airphotos, digital elevation model differencing, electronic distance measurement, and leveling survey data is used to constrain the deformation resulting from the 1975–1984 Krafla rifting crisis. We find that diking typically extends to depths of 5 km, while the dike tops range from 0 km in the caldera region to 3 km at the northern end of ...

Digital Photogrammetry is the quality leap in the means, ability, efficiency and agility of spatial information acquirement. Digital Photogrammetric Workstation (DPW) is the mainstream product of Digital Photogrammetry System. Nowadays DPW plays important roles in acquiring spatial data. With the emergence of high resolution sensor, such as IKONOS, QuickBird, SPOT5 and ADS40, the traditional DP...

In the process of object-oriented change detection, the determination of the optimal segmentation scale is directly related to the subsequent change information extraction and analysis. Aiming at this problem, this paper presents a novel object-level change detection method based on multi-scale segmentation and fusion. First of all, the fine to coarse segmentation is used to obtain initial obje...