Extraction automatique d’habitations en milieu rural de PED à partir de données THRS

Extraction automatique d’habitations en milieu rural de PED à partir de données THRS

Devaux, Nicolas;Fotsing, Jean-Marie;Chéry, Jean-Pierre;
cybergeo 2007 pp. -
207
devaux2007extractioncybergeo

Abstract

In developing countries, high scale cartographic data for rural individual housing localization is almost null. Nevertheless, it is useful for the initialization and management of decentralized rural electrification projects. Even if very high-resolution images from satellites allowed us to distinguish houses thanks to their spatial resolution, their automatic detection requires new treatment methods that give greater place to spatial approach.

Citation

ID: 171758
Ref Key: devaux2007extractioncybergeo
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
171758
Unique Identifier:
7275a4c0498a7a142bd828fbb4f19174
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet