Global-Local-Aware conditional random fields based building extraction for high spatial resolution remote sensing images

Farmland Parcels Extraction Based on High Resolution Remote Sensing Images

Extracting farmland parcels from high resolution remote sensing images is an important issue for land-use dynamic monitoring, precision agriculture and other fields. However, the traditional method, using GIS software and manual digital, has wasted a lot of human and material resources. In addition, the results are impacted by the human factors obviously. Therefore, an automatically extraction ...

Classification of high resolution remote sensing image based on Geo- ontology and Conditional Random Fields

The availability of high spatial resolution remote sensing data provides new opportunities for urban land-cover classification. More geometric details can be observed in the high resolution remote sensing image, Also Ground objects in the high resolution remote sensing image have displayed rich texture, structure, shape and hierarchical semantic characters. More landscape elements are represent...

Change Detection Using High Resolution Remote Sensing Images Based on Active Learning and Markov Random Fields

Change detection has been widely used in remote sensing, such as for disaster assessment and urban expansion detection. Although it is convenient to use unsupervised methods to detect changes from multi-temporal images, the results could be further improved. In supervised methods, heavy data labelling tasks are needed, and the sample annotation process with real categories is tedious and costly...

Object-based Conditional Random Fields for Road Extraction from Remote Sensing Image

To make full use of spatially contextual information and topological information in the procedure of Object-based Image Analysis (OBIA), an object-based conditional random field is proposed and used for road extraction. Objects are produced with an initial segmentation, then their neighbours are constructed. Each object is represented by three kinds of features, including the colour, the gradie...

Application Of High-Resolution Remote Sensing Images In Road Extraction