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| 11. |
On unsupervised segmentation of remotely sensed imagery using nonlinear regression |
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International Journal of Remote Sensing,
Volume 17,
Issue 7,
1996,
Page 1407-1415
S. T. ACTON,
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PDF (303KB)
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摘要:
A novel segmentation technique for remotely sensed imagery is introduced. Here, image segmentation is posed as a regression problem. The solution is computed by generating a piecewise constant image with minimum deviation from the original input image. The regression technique avoids the problems of region merging, poor boundary localization, region boundary ambiguity, region fragmentation, and sensitivity to noise. Results generated from the nonlinear regression technique and from other traditional segmentation algorithms are given for a study of the Great Victoria Desert using Landsat Thematic Mapper (TM) imagery.
ISSN:0143-1161
DOI:10.1080/01431169608948712
出版商:Taylor & Francis Group
年代:1996
数据来源: Taylor
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| 12. |
Evaluation of forest fire risk by the analysis of environmental data and TM images |
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International Journal of Remote Sensing,
Volume 17,
Issue 7,
1996,
Page 1417-1423
F. MASELLI,
A. RODOLFI,
L. BOTTAI,
C. CONESE,
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PDF (230KB)
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摘要:
The evaluation of forest fire risk is an important issue in Mediterranean areas where the long arid season often creates favourable conditions for the occurrence of fires. In this Letter three indices related to this risk have been produced and compared for the western part of the Elba Island (Central Italy). The first index is based on the analysis of environmental information layers (topography, vegetation and soil type) within a Land Information System, while the other two are derived from a summer Landsat Thematic Mapper (TM) scene processed by unsupervised and supervised procedures, respectively. The results show the effectiveness of all these approaches, and, in particular, a greater accuracy of the supervised spectral index.
ISSN:0143-1161
DOI:10.1080/01431169608948713
出版商:Taylor & Francis Group
年代:1996
数据来源: Taylor
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| 13. |
The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features |
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International Journal of Remote Sensing,
Volume 17,
Issue 7,
1996,
Page 1425-1432
S. K. McFEETERS,
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PDF (223KB)
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摘要:
The Normalized Difference Water Index (NDWI) is a new method that has been developed to delineate open water features and enhance their presence in remotely-sensed digital imagery. The NDWI makes use of reflected near-infrared radiation and visible green light to enhance the presence of such features while eliminating the presence of soil and terrestrial vegetation features. It is suggested that the NDWI may also provide researchers with turbidity estimations of water bodies using remotely-sensed digital data.
ISSN:0143-1161
DOI:10.1080/01431169608948714
出版商:Taylor & Francis Group
年代:1996
数据来源: Taylor
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