摘要:

A complete method of solving Kepler's equations is presented that behaves as an analytical function. The derivative term is evaluated and an efficient and robust implementation in the ‘C’ language is provided in the Appendix. Simulation results illustrate the computational requirements over a range of orbital eccentricities.

ISSN:0143-1161    

DOI:10.1080/01431169508954418

出版商:Taylor & Francis Group    

年代:1995

数据来源: Taylor

ISSN:0143-1161    

DOI:10.1080/01431169508954419

出版商:Taylor & Francis Group    

年代:1995

数据来源: Taylor

ISSN:0143-1161    

DOI:10.1080/01431169508954420

出版商:Taylor & Francis Group    

年代:1995

数据来源: Taylor

ISSN:0143-1161    

DOI:10.1080/01431169508954421

出版商:Taylor & Francis Group    

年代:1995

数据来源: Taylor

摘要:

Lacunarity analysis is a simple technique for characterizing texture in binary images. Lacunarity quantifies deviation from translational invariance by describing the distribution of gaps within the image at multiple scales: the more lacunar an image, the more heterogeneous the spatial arrangement of gaps. For grey-level data, a series of binary images are formed through slicing the image histogram by quantiles. Characteristic decays of lacunarity as a function of window size permit scene object texture to be distinguished from speckle. Using a series of ERS-1 SAR images of the Brazilian Pantanal, we demonstrate how lacunarity functions can link image phenomenology with scene dynamics.

ISSN:0143-1161    

DOI:10.1080/01431169508954422

出版商:Taylor & Francis Group    

年代:1995

数据来源: Taylor

摘要:

The analysis of multi-temporal AVHRRGAC data over Africa reveals that the integration of thermal information with a vegetation index clearly increases biome discrimination at a continental scale. Multi-temporal series of the ratio between surface temperature and the normalised difference vegetation index have the greatest potential to yield a realistic land-cover classification.

ISSN:0143-1161    

DOI:10.1080/01431169508954423

出版商:Taylor & Francis Group    

年代:1995

数据来源: Taylor

摘要:

The use of reference grids derived from aerial photography for a pixel-by-pixel comparison with classified images can yield conservative estimales of classification accuracy. Even if the class assignment of each polygon is 100 per cent correct, and there is no change in cover type due to temporal differences between the reference data and the classified image, conservative bias in estimales of classification accuracy are still possible. In this letter, we discuss two major sources of this potential bias: 1. positional errors, and 2. difference between polygon minimum mapping unit (MMU) area and pixel size of the classified image.

ISSN:0143-1161    

DOI:10.1080/01431169508954424

出版商:Taylor & Francis Group    

年代:1995

数据来源: Taylor

摘要:

Accuracy assessment of land-use and land-cover classifications obtained from remotely-sensed data is recognized as a critical step in evaluating thematic maps. In this Letter, thematic accuracy assessment is formulated in terms of a finite population sampling problem. Several examples are given to illustrate how this sampling perspective is applied to problems in accuracy assessment. Finite population sampling methods have the flexibility to provide estimators and variance estimators for a wide variety of sampling designs and parameters of interest in accuracy assessment.

ISSN:0143-1161    

DOI:10.1080/01431169508954425

出版商:Taylor & Francis Group    

年代:1995

数据来源: Taylor