![]() By applying several detectors, imaging spectrometers take several measurements in narrow bands like 0.01 micrometers for a spectrum range of typically 0.4 to 2.4 micrometers that is visible to middle infrared wavelengths. When this spectroscopy is applied with the optical remote sensing, it deals with the reflected or scattered solar energy from variety of Earth surface materials. Spectroscopy is the study of emitted or reflected light from a material in terms of variation of energy with respect to wavelengths. The instruments involve two distinct technologies, namely spectroscopy and remote sensed imaging. Imaging spectrometers are used to produce these hyperspectral images. By adjusting the hyperspectral sensor with atmospheric conditions, sensed terrain spectra is compared with laboratory (reference) spectra to correctly recognize and map surface materials like various land cover and land use types. The hyperspectral measurement creates an image cell with continuous spectral information. On the other side, Hyperspectral image is formed by sensing electromagnetic energy using hundreds of narrow adjacent bands. A multispectral remote sensor produces an image by sensing energy with a few number of broad wavelength electromagnetic spectrum bands. Hyperspectral imagery is one type of data processing under remote sensing, which can be used for classification of land cover types. The sensedĮnergy is then recorded and transmitted electronically to a processing station which is stored in the form of imagery data for further analysis. The reflected part of energy is sensed by high definition sensors in the optical or sometimes infrared or microwave bands of electromagnetic spectrum. The heterogeneous Earth surface interacts with incident radiations and results in reflection, refraction and absorption of energy in various manners. The electromagnetic energy travels through atmosphere and may interact with atmospheric particles. The primary source may be solar energy secondarily synthetic aperture radar systems can also illuminate radiations towards target. The various parameters involved with remote sensing are energy source of luminance, radiation through atmosphere, interaction with target elements, receiving energy by sensor, processing, analysis etc. The reflected radiation is a factor of interaction between incident radiation and surface elements. It is then further processed and analyzed. The information is sensed and collected in the form of electromagnetic radiations reflected from Earth surface. Remote sensing is defined by technique of collecting information of Earth surface from a distinct place. In a generalized meaning, land cover demonstrates all types of variations in the surface of Earth. The most commonly known land use categories are urban and agricultural utilities. Land use describes how people utilize the land under social and economic activities. The Earth surface is not homogeneous at all, rather contains variations like water, bare ground, trees, grass, asphalt etc. Land cover describes physical properties of Earth surface. KeywordsHyperspectral data, Remote sensing, Support Vector Machine Support Vector Machine (SVM) is employed for automatic classification of various land cover types and overall accuracy is found to be more than 90 % almost in all cases. We prepared training data under supervised learning and testing is done to verify the accuracy of the proposed model. Initially, we performed unsupervised learning which provides a good understanding about the dataset. In this paper, we have extracted spatial and spectral features from Samson hyperspectral image and designed a model that can perform classification task. In this aspect, Hyperspectral imaging plays an important role for the classification of different land cover types due to its rich information content. It can be performed by collecting information about various surface types using high definition satellite sensors and airborne SAR (Synthetic Aperture Radar) sensors. Subhedar PHCET, Rasayani, Raigad, Maharashtra, IndiaĪbstract – In modern changing world, it is very important to track the current status of Earth surface for geological and ecological point of view. PHCET, Rasayani, Raigad, Maharashtra, India Land Cover Classification using Support Vector Machine
0 Comments
Leave a Reply. |