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Swarm intelligence for object-based image analysis
2018Object-based image analysis (OBIA) approaches are often superior to the pixel-based classifications at very high resolution (VHR) remotely sensed images. Due to the similar spectral signatures of land-cover classes especially in urban areas, spatial information must be exploited to produce improved classification maps at finer resolutions. Segmentation
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Geographic Object-based Image Change Analysis
2009Remote sensing is an effective tool for mapping earth surface objects and phenomena, and provides the sole means for comprehensive monitoring of land surface changes. Normally captured in an image form by sensors mounted on aircraft or satellites, remotely sensed data are spatially contiguous and temporally periodic measurements of the reflected or ...
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Image Segmentation Methods for Object-based Analysis and Classification
2004Th e continuously improving spatial resolution of remote sensing (RS) sensors sets new demand for applications utilising this information. Th e need for the more effi cient extraction of information from high resolution RS imagery and the seamless integration of this information into Geographic Information System (GIS) databases is driving geo ...
Thomas Blaschke +2 more
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Coverless Image Steganography Based on Multi-Object Recognition
IEEE Transactions on Circuits and Systems for Video Technology, 2021Yuanjing Luo, Jiaohua Qin, Xuyu Xiang
exaly
Object based image analysis for cropland mapping
Proceedings, 2018N. Vasylenko, I. Tishaev
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Object-Part Attention Model for Fine-Grained Image Classification
IEEE Transactions on Image Processing, 2018Yuxin Peng, Xiangteng He, Junjie Zhao
exaly