Crater detection for autonomous landing on asteroids

Image and Vision Computing

Volumn 19, Issue 11, 2001, Pages 787-792

  Leroy, B ^a   Medioni, G ^a   Johnson, E ^b   Matthies, L ^b  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Autonomous spacecraft; Feature extraction; Perceptual grouping; Segmentation

Indexed keywords

IMAGE ANALYSIS; IMAGE SEGMENTATION; POSITION CONTROL; SENSORS; SPACECRAFT LANDING;

ASTEROIDS; AUTONOMOUS LANDING;

FEATURE EXTRACTION;

EID: 0035449743     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0262-8856(00)00111-6     Document Type: Article

References (10)

1. Arbitrary shape Hough transform by invariant geometric features
2. Using Canny's criteria to derive a recursively implemented optimal edge detector
3. An analytic model for the Phobos surface
4. Inference of surfaces, 3D curves and junctions from sparse, noisy 3D data
5. Ellipse/circle detector using geometric symmetry
6. Affine invariant model-based object recognition
7. Inferring segmented description from stere data
8. Ellipse-specific direct least-square fitting
9. Inference of integrated surface, curve and junction descriptions from sparse 3D data