Dimension Merger in Spatial Domain: A Review on Image Processing

Abstract

Amount of data generated from remote sensing imagery covers wide applications especially in the area of environment monitoring, agriculture fertilization, object detection and tracing and many more. Yet the amount of data gathered requires direction so that such data can be beneficial along with existing human know sources since 1970’s when image based object detection came into light. This paper provides an overview of methods and tools that have made machine learning and IOT based solutions a prime area of research when we talk about imagery and its uses for human life improvement. The main goal of the review is to picturize an Internet of things (IOT) based solution for agriculture improvement in India by surveying plant seed cultivation /recognition or diseased leaf segmentation and various methods implemented in the world from various tools sets being used to algorithms being developed. Survey conduction and probable determination in this area is the first foundation towards our research contribution that is highlighted in this paper.