Super-resolution mapping of urban scenes from IKONOS imagery using a Hopfield neural network

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 7, Issue , 2001, Pages 3203-3205

  Tatem, A J ^a   Lewis, H G ^a   Atkinson, P M ^a   Nixon, M S ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SENSORS; MAPPING; NEURAL NETWORKS; SATELLITES; URBAN PLANNING;

IMAGE PIXELS;

IMAGE ANALYSIS;

EID: 0035569199     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Linear spectral mixture modelling to estimate vegetation amount from optical spectral data
2. Support vector machines for optimal classification and spectral unmixing
3. Mapping sub-pixel proportional land cover with AVHRR imagery
4. Super-resolution target identification from remotely sensed images using a Hopfield neural network
5. Neural computation of decisions in optimization problems
6. Land cover mapping at the sub-pixel scale using a Hopfield neural network
7. Approaches for the production and evaluation of fuzzy land cover classifications from remotely-sensed data