Novel Multi-Scale Filter Profile-Based Framework for VHR Remote Sensing Image Classification

Multi-source Multi-scale Hierarchical Conditional Random Field Model for Remote Sensing Image Classification

Fusion of remote sensing images and LiDAR data provides complimentary information for the remote sensing applications, such as object classification and recognition. In this paper, we propose a novel multi-source multi-scale hierarchical conditional random field (MSMSH-CRF) model to integrate features extracted from remote sensing images and LiDAR point cloud data for image classification. MSMS...

Remote Sensing Image Classification

Multi-temporal remote sensing image classification - A multi-view approach

Multispectral remote sensing images have been widely used for automated land use and land cover classification tasks. Often thematic classification is done using single date image, however in many instances a single date image is not informative enough to distinguish between different land cover types. In this paper we show how one can use multiple images, collected at different times of year (...

Parameter estimation and classification of multi-scale remote sensing data

In this article we describe a Bayesian model for integration of multi-scale image data. The approach is based on the concept of a reference resolution. Data at this and lower resolutions are connected to the reference resolution through a fully specified statistical model. Algorithms for parameter estimation and classification based on the multi-scale model are proposed, and results and compari...

Color Remote-sensing Image Segmentation Based on Improved Region Filter

High resolution remote-sensing images provide abundant color, shape structure and texture information. However, region-based segmentations do not allow to fully exploit the richness of this kind of images. Despite the enormous progress in the analysis of remote sensing imagery over the past three decades, there is a lack of guidance on how to select an image segmentation algorithm suitable for ...