The LANDSAT Signature Development Program, LSDP, is designed to produce an unsupervised classification of a scene from a LANDSAT tape. This classification is based on the clustering tendencies of the multispectral scanner data processed from the scene. The program will generate a character map that, by identifying each of the general classes of surface features extracted from the scene data with a specific line printer symbols, indicates the approximate locations and distributions of these general classes within the scene. Also provided with the character map are a number of tables each of which describes either some aspect of the spectral properties of the resultant classes, some inter-class relationship, the incidence of picture elements ...
The NASA Earth Resources Laboratory (ERL) at the National Space Technology Laboratories, NSTL Statio...
A study was conducted to evaluate terrain conditions in the vicinity of Daytona Beach, Florida to fa...
Techniques to provide land use up-date information using remotely sensed data and automatic data pro...
By use of a simple function to be known as a Natural Classification Function, multispectral signatur...
A new signature extension method for use with LANDSAT data has been developed. The MASC (Multiplicat...
Unsupervised classification of LANDSAT imagery can be accomplished very efficiently by using a four-...
The author has identified the following significant results. Multispectral reflectance signatures ha...
The concept of using satellite data for soils inventories began with the advent of the first ERTS la...
The processing of digital imagery is an important aspect of the analysis of Landsat multispectral da...
The development of a computer program is reported for extracting features from remotely sensed data ...
Methods of performing signature extension, using LANDSAT-1 data, are explored. The emphasis is on im...
Although it is well recognized that photointerpretation of the Landsat imagery can provide adequate ...
This paper presents a procedure for determining the number of signatures to use in classifying multi...
The Earth Observations Division (EOD) at NASA\u27s Lyndon B. Johnson Space Center (JSC) has recently...
Three approaches to computer assisted Landsat multispectral classifications are described. The super...
The NASA Earth Resources Laboratory (ERL) at the National Space Technology Laboratories, NSTL Statio...
A study was conducted to evaluate terrain conditions in the vicinity of Daytona Beach, Florida to fa...
Techniques to provide land use up-date information using remotely sensed data and automatic data pro...
By use of a simple function to be known as a Natural Classification Function, multispectral signatur...
A new signature extension method for use with LANDSAT data has been developed. The MASC (Multiplicat...
Unsupervised classification of LANDSAT imagery can be accomplished very efficiently by using a four-...
The author has identified the following significant results. Multispectral reflectance signatures ha...
The concept of using satellite data for soils inventories began with the advent of the first ERTS la...
The processing of digital imagery is an important aspect of the analysis of Landsat multispectral da...
The development of a computer program is reported for extracting features from remotely sensed data ...
Methods of performing signature extension, using LANDSAT-1 data, are explored. The emphasis is on im...
Although it is well recognized that photointerpretation of the Landsat imagery can provide adequate ...
This paper presents a procedure for determining the number of signatures to use in classifying multi...
The Earth Observations Division (EOD) at NASA\u27s Lyndon B. Johnson Space Center (JSC) has recently...
Three approaches to computer assisted Landsat multispectral classifications are described. The super...
The NASA Earth Resources Laboratory (ERL) at the National Space Technology Laboratories, NSTL Statio...
A study was conducted to evaluate terrain conditions in the vicinity of Daytona Beach, Florida to fa...
Techniques to provide land use up-date information using remotely sensed data and automatic data pro...