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Remote sensing technology is of significant advantages for monitoring and analysing ecological environment. By using of automatic extraction algorithm, various environmental resources information of t...
The automated building detection in aerial images is a fundamental problem encountered in aerial and satellite images analysis. Recently, thanks to the advances in feature descriptions, Region-based C...
Within the last two decades, object-based image analysis (OBIA) considering objects (i.e. groups of pixels) instead of pixels has gained popularity and attracted increasing interest. The most importan...
This Paper uses MODIS data to monitor and evaluate cultivated land changes in Yangtze River Delta region. Firstly, In order to validate the veracity of the classification results by MODIS, Hangzhou ci...
This paper describes a region-based technique for fusion of high-resolution images. In this technique, mean shift segmentation is adopted to extract the features for high resolution image as a substit...
The automatic segmentation of land cover features, within very high resolution (VHR) satellite imagery, is a complex task which is important to geo-spatial applications such as urban planning, crop mo...
Ecosystem health is an important index of the regional sustainable development. In view of the singularity of indicator selection caused by the limited application of remote sensing and GIS at present...
Until now, interpretation of aerial photographs is a standard tool for monitoring land cover change where fine spatial resolutions are required and this task is expensive and time-consuming. Though,...
Accurate 3D surface reconstruction of our environment has become essential for an unlimited number of emerging applications. In the past few years, Unmanned Aerial Systems (UAS) are evolving as low-co...
Since 1999, Very High spatial Resolution satellite data (Ikonos-2, QuickBird and OrbView-3) represent the surface of the Earth with more detail. However, information extraction by multispectral pixel-...
The objective of this research was the design and development of a region-based multi-scale segmentation algorithm with the integration of complex texture features, in order to provide a low level pro...
The current status in spatial data handling can be characterized in such a way that tremendous efforts have been made to deliver more data in shorter times by using new sensors and the benefits of the...
Oil spills in the ocean are a serious marine disaster that needs regular monitoring for environmental risk assessment and mitigation. Recent use of Polarimetric SAR imagery in near real time oil spill...
MRF model is recognized as one of efficient tools for image classification. However, traditional MRF model prove to be limited for high resolution image classification. This paper presents a joint pix...
Tree height is a fundamental parameter for describing the forest situation and changes. The latest development of automatic Digital Surface Model (DSM) generation techniques allows new approaches of...

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