A Study on Coastline Extraction and Its Trend Based on Remote Sensing Image Data Mining

نویسندگان

  • Yun Zhang
  • Xueming Li
  • Jianli Zhang
  • Derui Song
چکیده

and Applied Analysis 3 operator, the chromatic aberration Canny operator was used instead to extract the coastline. (1) Calculation of the Chromatic Aberration Amplitude by Means of Chromatic Aberration Canny Operator. In order to improve on deficiencies of the traditional Canny operator, an improved Canny operator was used based on the LAB color model as the main technical route in this paper, that is, the chromatic aberration Canny operator color difference canny (CDC) algorithm. This algorithm was able to detect the edge through the color gradient (chromatic aberration) between pixels and determine the pixel amplitude as per the calculation of the first-order partial derivative finite difference at the x-direction, y-direction, 135 direction, and 45 direction within the 8 adjacent zones of pixels. Its main advantages include high edge-positioning accuracy and effective noise suppression. It was able to accurately determine the color differences in accordance with the vision of human eye, and good results were achieved during practical application. The mathematical expression of the chromatic aberration Canny operator (CDC) is as follows. Chromatic aberration in the x-direction:

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

Overlap-based feature weighting: The feature extraction of Hyperspectral remote sensing imagery

Hyperspectral sensors provide a large number of spectral bands. This massive and complex data structure of hyperspectral images presents a challenge to traditional data processing techniques. Therefore, reducing the dimensionality of hyperspectral images without losing important information is a very important issue for the remote sensing community. We propose to use overlap-based feature weigh...

متن کامل

Palarimetric Synthetic Aperture Radar Image Classification using Bag of Visual Words Algorithm

Land cover is defined as the physical material of the surface of the earth, including different vegetation covers, bare soil, water surface, various urban areas, etc. Land cover and its changes are very important and influential on the Earth and life of living organisms, especially human beings. Land cover change monitoring is important for protecting the ecosystem, forests, farmland, open spac...

متن کامل

Detection of Coastline Using Satellite Image-Processing Technique

Extended abstract 1- Introduction  Coasts maintain their natural sustainability without human intervention and in spite of short-term changes, we are ultimately confronted with a coastal healthy environment, i.e. natural, rocky beaches, sandy beaches and so on. Today's use of remote sensing in most natural sciences is widespread. Due to the fact that fieldwork is costly and time-consuming, ...

متن کامل

Coastline Extraction Using Support Vector Machine from Remote Sensing Image

In recent years, support vector machine (SVM) has been widely applied in remote sensing image classification, since its experience can also minimize errors and maximize the geometric characteristics of the edge area. In this article SVM classification algorithm will be introduced the remote sensing extraction coastline. Fujian Province Landsat7 ETM + image will be a test region to be classified...

متن کامل

Exploration of Kahang porphyry copper deposit using advanced integration of geological, remote sensing, geochemical, and magnetics data

The purpose of mineral exploration is to find ore deposits. The main aim of this work is to use the fuzzy inference system to integrate the exploration layers including the geological, remote sensing, geochemical, and magnetic data. The studied area was the porphyry copper deposit of the Kahang area in the preliminary stage of exploration. Overlaying of rock units and tectonic layers were used ...

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 2014