Its 20 articles cover digital remote sensing methods, technological advances in impervious surface mapping, transport-related and roof-related surfaces, and data applications, with such topics as estimating and mapping using regression analysis of Landsat imagery, using a neural network approach to estimation with IKONOS imagery, mapping from medium and high spatial resolution multispectral imagery, using models for extraction of data from multiple sites, using fractals or linear spectral mixture analysis, and fusing radar and optical data to identify human settlements.
What does LSMA stand for?
LSMA stands for Linear Spectral Mixture Analysis (remote sensing)
This definition appears somewhat frequently and is found in the following Acronym Finder categories:
- Information technology (IT) and computers
- Science, medicine, engineering, etc.
See other definitions of LSMA
We have 2 other meanings of LSMA in our Acronym Attic
- Lunar Surface Magnetometer
- Lutheran Student Movement
- Medium Landing Ship
- Line Service Modem
- Land Survey Module 1 (software)
- La Salle Military Academy (Long Island, NY)
- Landelijke Standaard Meldkamer Ambulancezorg (Dutch: Rural Ambulance Control Room Standard; Netherlands)
- Large Stationary Microstrip Array
- Large-Scale Multicast Application (communications)
- Liberal Studies Master of Arts (degree; Columbia University; New York)
- Louis Stokes Mississippi Alliance for Minority Participation
- Large Scale Multi-Agent Systems
- Least Squares Model Based
- Legal Services of Metro Birmingham (Alabama)
- Life Sciences: Molecular Biology and Biochemistry
- Local Skeletal Muscle Blood Flow
- Lally School of Management and Technology (Rensselaer Polytechnic Institute)
- Launching System Module Control/Console
- Logistics Specialty Management Committee
- Longitudinally Oriented Smooth Muscle Cells
Samples in periodicals archive:
The idea behind linear spectral mixture analysis is that every image pixel is a mixture of different components (called endmembers) and the spectrum recorded by the sensor is a linear combination of endmember spectra (Tompkins et al.