Using Ai And Machine Learning In Space Debris Management.

0.0(0)
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
Card Sorting

1/13

flashcard set

Earn XP

Description and Tags

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

No study sessions yet.

14 Terms

1
New cards

Space Debris Management

Strategies to address the threat posed by debris to satellites and spacecraft in Earth's orbit.

2
New cards

Artificial Intelligence (AI) and Machine Learning (ML)

Technologies that can transform the approach to space debris management.

3
New cards

Detection

AI algorithms analyze data to identify potential debris in space.

4
New cards

Tracking

ML models monitor debris movement with precision.

5
New cards

Prediction

AI predicts collisions and offers early warnings by analyzing patterns.

6
New cards

Automation

AI systems automate space debris monitoring and management.

7
New cards

Efficiency

ML algorithms streamline the identification and tracking of debris.

8
New cards

Accuracy

AI technologies provide precise predictions of debris trajectories and collision risks.

9
New cards

Fragmentation debris

Small pieces resulting from satellite collisions or explosions.

10
New cards

Non-functional spacecraft

Decommissioned satellites and rocket stages contribute to space debris.

11
New cards

Collision risk

The increasing debris raises the chances of collisions with operational spacecraft.

12
New cards

Tracking accuracy

Precise tracking of debris is crucial for collision avoidance maneuvers.

13
New cards

Debris removal

Developing effective methods to eliminate debris from orbit is a significant challenge.

14
New cards