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Classification is the most important method to determine type of crop contained in a region for agricultural planning. There are two types of the classification. First is pixel based and the other is ...
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...
A semi-automatic system for extracting topographic features is being migrated to an object-oriented design for better maintainability. For that purpose an object-oriented model of the extracted object...
Some different techniques were adopted in disaster management and research. Difficulties appeared in operational disaster emergency response works. There is no effective scheme to integrate various me...
The lacking of 1:50000 topographic maps in western China is inconvenient to the national economic development. The rapid development of space technology, computer technology and information technology...
In this paper we will revise the recent developments in the field of automatic object extraction for change detection and GIS update under different aspects: (1) level of automation; (2) available sen...
Airborne linear pushbroom cameras have become one of the most important imaging sensors in today’s photogrammetry and remote sensing practices to collect high-resolution multi-channel seamless image s...
Fast incremental non Gaussian directional analysis (IPCA-ICA) is proposed as a linear technique for recognition [1]. The basic idea is to compute the principal components as sequence of image vectors ...
We present a new object-oriented land cover classification method based on Support Vector Machine (SVM) by fusing spectral and textural information of High-Resolution (HR) aerial imagery and Digital...
This study focuses on the comparison between the classical and object-oriented image classifications of remote sensing imagery in the arid area. Due to its special geographic environment and socio-e...

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