Contextual classification of Landsat TM images to forest inventory cover types
نویسندگان
چکیده
منابع مشابه
Contextual clustering for image labeling: an application to degraded forest assessment in Landsat TM images of the Brazilian Amazon
The Modified Adaptive Pappas Clustering (MPAC) algorithm, recently published in the image processing literature, is proposed as a valuable tool in the analysis of remotely sensed images where texture information is negligible. Owing to its contextual, adaptive, and multiresolutional labeling approach, MPAC preserves genuine but small regions, is easy to use (i.e., it requires minor user interac...
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Vegetation plays a key role in reducing ambient temperature, moisture and pollutant capture, energy use and subsequent ground level ozone reduction. In recent years vegetation mapping has become increasingly important, especially with advancements in environmental economic valuation. The spatial information from the remote sensing satellites enables researchers to quantify and qualify the amoun...
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ژورنال
عنوان ژورنال: International Journal of Remote Sensing
سال: 2004
ISSN: 0143-1161,1366-5901
DOI: 10.1080/01431160310001642296