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...
Also, in existent works, the accuracy is low. To overcome such drawbacks, this paper proposed an object-based classification (OBC) of high-resolutions RS image (HRRSI) using HRSVM-CNN classifier. Initially, the input image is improved utilizing hybrid CLAHE-DCT in the preprocessing stage. The...
定义方法包含8个参数[a1,a2,b1,b2,c1,c2,d1,d2], 定义的左上角为起点,其余点按逆时针顺序排列。 [1] X. Yang, S. Hao, K. Fu, J. Yang, S. Xian, M. Yan, and G. Zhi, Automatic ship detection in remote sensing images from Google earth of complex scenes based on multiscale rotation...
this study were (i) the development of additional spectral, texture, and geometrical descriptors for characterizing image-objects (groups of alike pixels) and their contextual properties, and (ii) the introduction of decision trees with boosting to perform the object-based land cover classification. ...
Object-based land cover classification using airborne LiDAR Light Detection and Ranging (LiDAR) provides high resolution horizontal and vertical spatial point cloud data, and is increasingly being used in a number o... AS Antonarakis,KS Richards,J Brasington - 《Remote Sensing of Environment》 被...
integrating the pixel-based change detection and the object-oriented post-classification change detection is introduced.The change region is found firstly through a pixel ration method based on minimum mean;then the object-based post-classification comparison method can be utilized in this change region...
The overall accuracy of the land cover classification was 86%, the overall The image-to-image, object-based approach to change analysis clearly captured the fragmented and scattered pattern of change that prevails in the study area. The user's accuracy of the increase and decrease classes of ...
Although different approaches have been used for mangrove classification, no approach to date has addressed the challenges of the special conditions that can be found in the aquaculture-mangrove system in the Ca Mau province of the MD. This paper presents an object-based classification approach for...
Compared with a traditional human survey, the use of remote sensing images can not only achieve dynamic monitoring of a large area, but also improve the efficiency. Recently, most studies regarding ground object classification based on remote sensing images address the development and optimization of...
In order to quickly and accurately extract the information of land use and its changes in the Chengdu Plain,high-resolution remote sensing images were selected as a data source,and using the object-oriented image analysis method,the classification method of these high-resolution remote sensing images...