Remote Sensing Image Retrieval Based on Color and Texture

Remote sensing image retrieval based on texture features and color features is proposed, for meeting the limitations of single features of remote sensing image retrieval and the computational cost of traditional retrieval methods. On the analysis of the e

  • PDF / 14,841,432 Bytes
  • 794 Pages / 453.543 x 683.15 pts Page_size
  • 21 Downloads / 215 Views

DOWNLOAD

REPORT

Data Loading...

Recommend Documents
Research on Remote Sensing Image Management Based on Computer Technology

159 86 22MB

Multiclass Color-Texture Image Segmentation Based on Random Walks Framework Integrating Compact Texture Information

168 88 13MB

A Cascade Color Image Retrieval Framework

173 8 52MB

Segmentation and Content-Based Watermarking for Color Image and Image Region Indexing and Retrieval

174 55 1MB

Remote Sensing, Satellite-Based

220 29 239KB

Image pan-sharpening using enhancement based approaches in remote sensing

186 48 4MB

Text-based Image Retrieval

173 80 2MB

Remote sensing image colorization using symmetrical multi-scale DCGAN in YUV color space

168 56 7MB

Incorporating Human Views into Unsupervised Deep Transfer Learning for Remote Sensing Image Retrieval

152 81 113MB

Content-Based Image Retrieval Using Statistical Color Occurrence Feature on Multiresolution Dataset

167 5 29MB

Research on Simulation Technology for Remote Sensing Image Quality

192 13 103MB

Remote Sensing Image Change Detection and Location Based on Dynamic Level Set Model

164 93 20MB