A Study on Change Detection in Hyperspectral Image

ISBN-13: 9783330352360 / Angielski / Miękka / 2019 / 60 str.

Manda Sreevalli

Opis

Change detection is the procedure of obtaining changes between two Hyperspectral pictures of same topographical zone taken at two unique times. It conveys the essential and important change data of a scene. Due to a breakthrough in Hyperspectral remote sensing Hyperspectral remote sensors can capable of producing narrow spectral resolution images. These high resolution spectral and spatial hyperspectral images can find small variations in images. This work describes an efficient algorithm for detecting changes in Hyperspectral images by using spectral signatures of Hyperspectral images. The objective is developing of a proficient algorithm that can show even small variations in Hyperspectral images. It reviews Hierarchical method for finding changes in Hyperspectral images by comparing spectral homogeneity between spectral change vectors. For any scenery locating and also exploration regarding adjust delivers treasured data regarding achievable changes. Hyperspectral satellite detectors get effectiveness throughout gathering data with large spectral rings.

O autorze

Sreevalli, Manda
I completed my Master of Technology at National Institute of technology Rourkela in "Signal and image processing specialization". I worked as Assistant professor in R.V.R & J.C College of Engineering, Guntur. Currently I am working as a Project Assistant in Aeronautical Development Agency, Banglore.