Detection of Man-made Structures in Natural Images
نویسنده
چکیده
Object detection in images is a very active research topic in many disciplines. Probabilistic methods have been applied to the problem with varying degrees of success. A logistic classifier, Markov random field (MRF), and discriminative Random Field (DRF) were used for the detection of man-made structures in natural images. It was found that the MRF and DRF models were often improvements over the logistic model, but they introduced some false-positives. The Matlab framework developed during the course of the investigation should serve as an excellent staging ground for future explorations of many sub-problems.
منابع مشابه
Kohonen Self Organizing for Automatic Identification of Cartographic Objects
Automatic identification and localization of cartographic objects in aerial and satellite images have gained increasing attention in recent years in digital photogrammetry and remote sensing. Although the automatic extraction of man made objects in essence is still an unresolved issue, the man made objects can be extracted from aerial photos and satellite images. Recently, the high-resolution s...
متن کاملMan-Made Structure Detection in Natural Images using a Causal Multiscale Random Field
This paper presents a generative model based approach to man-made structure detection in 2D natural images. The proposed approach uses a causal multiscale random field suggested in [3] as a prior model on the class labels on the image sites. However, instead of assuming the conditional independence of the observed data, we propose to capture the local dependencies in the data using a multiscale...
متن کاملSalient regions detection in satellite images using the combination of MSER local features detector and saliency models
Nowadays, due to quality development of satellite images, automatic target detection on these images has been attracted many researchers' attention. Remote-sensing images follow various geospatial targets; these targets are generally man-made and have a distinctive structure from their surrounding areas. Different methods have been developed for automatic target detection. In most of these met...
متن کاملA Survey of Landscape Metrics and Land-use/land-cover Structures on Urban Heat Islands Surface: A Case Study on Urmia City, Iran
Urbanization is developing unprecedentedly on a global scale. One of the chief repercussions of urbanization, caused by man-made alterations in land-use/land-cover (LULC), is the formation of urban heat islands. Albeit, differences among landscape structures and its accompanied effects on the environment are mostly neglected. Accordingly, the main objective of this study is to survey the variou...
متن کاملSelf-organizing Map Application for Retrieval of Man-made Structures in Remote Sensing Data
Self-Organizing Maps (SOMs) have been successfully applied to content-based image retrieval (CBIR). In this study, we investigate the potential of PicSOM, an image database browsing system, applied to remote sensing images. Databases of small images were artificially created, either from a single satellite image for object detection, or two satellite images when considering change detection. By...
متن کامل