The application of texture measures to classifying the rain forest

نویسنده

  • CHRIS OLIVER
چکیده

This paper describes the application of SAR texture in classifying examples of Amazon rain forest into forest and not forest categories. The results are compared with corresponding classification of Band 5 Landsat TM imagery.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Spatial Properties of Forest Clutter Measured by Wavelet Frames in Polarimetric PALSAR Imagery

The paper reports on experimental analysis of the spatial statistics (texture), as measured by wavelet frames in Lband SAR observations of tropical forest. Signatures are used to characterize the dependences of the texture measures on scale and polarization state. For detected data, experiments performed using a full resolution (12.5 m) JERS-1 image confirm that textural features provide good s...

متن کامل

Classifying inputs and outputs in interval data envelopment analysis

Data envelopment analysis (DEA) is an approach to measure the relative efficiency of decision-making units with multiple inputs and multiple outputs using mathematical programming. In the traditional DEA, it is assumed that we know the input or output role of each performance measure. But in some situations, the type of performance measure is unknown. These performance measures are called flexi...

متن کامل

Application of GIS in Modeling Rainfall Erosivity Factor (Case Study: Gabric Watershed- Hormozgan Province East South)

If other factors are held constant erosion, soil loss rate is directly proportional to the amount of rain erosion. Various measures have been proposed so far in the world, depending on geographic location, scale, local conditions and the type of measurement are different. A review of studies conducted worldwide and the limited rain gauge equipped, modified Fournier index is calculated based on ...

متن کامل

Application of ensemble learning techniques to model the atmospheric concentration of SO2

In view of pollution prediction modeling, the study adopts homogenous (random forest, bagging, and additive regression) and heterogeneous (voting) ensemble classifiers to predict the atmospheric concentration of Sulphur dioxide. For model validation, results were compared against widely known single base classifiers such as support vector machine, multilayer perceptron, linear regression and re...

متن کامل

Drivers of rain-forest boundary dynamics in Kakadu National Park, northern Australia: a eld assessment

Understanding the causes of savanna–forest dynamics is vital as small but widespread changes in the extent of tropical forests can have major impacts on global climate, biodiversity and human well-being. Comparison of aerial photographs for 50 rain-forest patches in Kakadu National Park had previously revealed a landscape-wide monotonic expansion of rain-forest boundaries between 1964 and 2004....

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1998