"How the Small Object Detection via Machine Learning and UAS-Based ..."

Haitham Ezzy et al. (2021)

> Home

Details and statistics

DOI: 10.3390/RS13163191

access: open

type: Journal Article

metadata version: 2021-09-01

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/remotesensing/EzzyCBB21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/EzzyCBB21
Haitham Ezzy, Motti Charter, Antonello Bonfante, Anna Brook:
How the Small Object Detection via Machine Learning and UAS-Based Remote-Sensing Imagery Can Support the Achievement of SDG2: A Case Study of Vole Burrows. Remote. Sens. 13(16): 3191 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.