Object-Oriented Remote Sensing Image Change Detection Based on Color Co-Occurrence Matrix

Object-oriented Change Detection for Remote Sensing Images Based on Multi-scale Fusion

In the process of object-oriented change detection, the determination of the optimal segmentation scale is directly related to the subsequent change information extraction and analysis. Aiming at this problem, this paper presents a novel object-level change detection method based on multi-scale segmentation and fusion. First of all, the fine to coarse segmentation is used to obtain initial obje...

Object-oriented change detection approach for high-resolution remote sensing images based on multiscale fusion

Aiming at the difficulties in change detection caused by the complexity of highresolution remote sensing images that exist in varied ecological environments and artificial objects, in order to overcome the limitations in traditional pixel-oriented change detection methods and improve the detection precision, an innovative object-oriented change detection approach based on multiscale fusion is p...

Object-based classification of remote sensing data for change detection

In this paper, a change detection approach based on an object-based classification of remote sensing data is introduced. The approach classifies not single pixels but groups of pixels that represent already existing objects in a GIS database. The approach is based on a supervised maximum likelihood classification. The multispectral bands grouped by objects and very different measures that can b...

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 ...

Image Retrieval Based on Weighted Block Color Histogram and Texton Co-occurrence Matrix